Sl Title Statement Sector Track
1 Snake Robots to navigate the passages to and navigate the ways. Snake Robots whose active joints allow lateral undulation, side winding, and rolling gaits to help it navigate difficult passages together can make for a great reconnaissance and surveillance team both in defensive and offensive plans in challenging conditions such as Naxalite prone areas and hostage saving conditions. Expected Outcome: Build a prototype snake robot that can sneak through cracks and into buildings to send back sound and video of enemy movements. Defence Robotics and Automation
2 Wall Climbers and Cutters to know what is the situation from inside the campus during a terrorist activity Wall climbers & wire cutters In case of siege or terrorist incident getting to know what is the situation from inside the campuses is very important. Using humans to do snooping is both dangerous and counter productive. The sensitive issues require complete precaution. Build a small robot which can climb walls and cut barbed wires can be very effective to the defence forces. The robot should have an embedded camera attached. Defence Robotics and automation
3 Design and development of Remotely Piloted Vehicles (RPVs) with secure and encrypted control systems Unmanned drones Robotics and automation Design and development of Remotely Piloted Vehicles (RPVs) with secure and encrypted control systems (datalinks). These are airborne vehicles which are controlled remotely through secure and encrypted control systems. Depending upon their performance the RPVs are categorised as High Altitude Long Endurance (HALE) and Medium Altitude Long Endurance (MALE). Further, depending upon their size and payload carrying capacity, the RPVs are categorised as Micro RPVs, Mini RPVs and RPVs. Defence Robotics and Automation
4 Design and development of Launch and recovery systems, control & monitoring systems and debrief systems. Design and development of Launch and recovery systems, control & monitoring systems and debrief systems. Design and development of various types of indigenous payloads including Electro-Optical systems, Synthetic Aperture Radar (SAR) systems, Electronic Intelligence (ELINT) systems and Communications Intelligence (COMINT) systems. Design and development of capability for carrying Air to Air and Air to Ground weapons and weapon aiming systems. Defence Robotics and Automation
5 Individual Protection System with built-in sensors. Individual protection system Individual Protection System with built-in sensors. The system material should be light weight and non-shattering. The sensor mechanism should effectively monitor the vital parameters of the soldier and the protection system. The equipment should be light weight and transmit the monitored data while not hindering mobility. Defence Robotics and Automation
6 Situational Awareness for army men in combat. Situational Awareness for army men in combat. Situational awareness forms major bedrock for any Infantry based operation. The need is to integrate C4l systems with various sensors/ sources and Global Positioning System to ensure integration into the overall combat network architecture. Latest means of communication, frequency/bandwidth management and technology need to remain in sync, in order to cope up with rapid advancements of technology. Defence Robotics and Automation
7 Sustainability for army men in long-term warfare Sustainability for army men in long-term warfare The uniform be lightweight and should cater for energy absorbing protection with smart surfaces, integrated with computing and communication devices, energy supply sensors, dynamic camouflage, chemical and bio-warfare protection and personal climate control arrangements. The task is to build most roubust communication system in lightest possible configuration. Defence Robotics and Automation
8 Heliportable Bridging System. Heliportable Bridging System. Light weight bridge making robot that can be carried to the high risk target area using a helecopter. It should be able to construct ropeway bridges which can withstand 100 kg of load. The robot can work as a single entity or as a pair in both sides of a river in target area.15 to 20 meters spans. Defence Robotics and Automation
9 Dynamic Camouflage Battle Suits. Dynamic Camouflage Battle Suits. Battle suits which are capable of changing its colour pattern as per the background to provide dynamic camouflage as per prevailing ground conditions. Camouflage equipment should have multi spectral capability to prevent identity/ recognition of equipment covered by it against Visual, Infrared, Thermal and Radar based sensors. The latest in the field of active camouflage is the concept of Optical Camouflage, which is referred to as the Invisible Man Technology. Optical Camouflage is an active camouflage in which the image displayed is of the scene on the opposite side of the viewer, so that the viewer can see through the wearer, thus rendering it invisible. It works by creating optical camouflage across the visible light spectrum. It would require a coating or suit covered with tiny cameras and projectors, programmed to gather visual data from multitude of different angles and projecting the gather image outwardly to give the illusion of invisibility from all angles. It requires sophisticated nanotechnology in cameras, projectors and computers . Defence Robotics and Automation
10 Foliage penetration system Robotics and automation Foliage penetration system Robotics and automation A huge proportion of our forces are deployed in J&K and NE regions of the country. Vegetation cover in such areas is vast which facilitates the irregulars/ANEs to close-in on own troops without being detected and launch surgical strikes. Though a large number of NVDs are held with the unit, foliage penetration remains a challenge. Presently, there is no worthwhile solution to this handicap with our armed forces. A large number incidents have occurred where the targets have managed to infiltrate without being detected and inflict heavy causalities on own troops. The NVDs were redundant due to the thick vegetation cover around own location. Vegetation cover, however, is essential to maintain camouflage and concealment but its effect is double edged upsetting own design of operations often. Make a portable robot that can cut through foliage and make life easier for our army men. Defence Robotics and Automation
11 Image processing and fine pointing and tracking of laser beam on to the target. (Data analytics and robotics) Image processing and fine pointing and tracking of laser beam on to the target. (Data analytics and robotics) The high precision beam pointing and tracking system is responsible for fine pointing of laser beam on to the target. The major sources of error in achieving the high precision pointing and tracking besides the dynamic target are platform vibrations, beam jitter produced by atmospheric propagation effects, bore sight error and other manufacturing electronics and thermal effect errors Defence Robotics and Automation
12 Smart Vest for IFF Smart Vest for IFF Over the last two and half decades, Army is heavily employed in counter insurgency operations. While carrying out these operations, quick identification and engagement of terrorists is crucial to prevent casualties. As terrorists have also started using combat outfit, it is difficult to immediately differentiate a terrorist from a soldier Especially in poor weather conditions. These vests can also send important info to the control room. Defence Robotics and automation
13 Automated Equipment Health Monitoring System. Automated Equipment Health Monitoring System. Indian Army has, in its inventory, a wide range of vehicles/ equipment and therefore ensuring full mission capability at all times, in order to achieve the desired op role, remains a challenge. Presently no real time flow of data and monitoring mechanism exist between the user and the repair agency for carrying out timely preventive maintenance and ensure improved serviceability state. The inventory of all equipment, in-service and futuristic, places great reliance on use of sensor and digital technology. Vital and timely inputs needs to be monitored through Automated Equipment Health Monitoring System in order to ensure evolution from the present corrective maintenance philosophy to preventive maintenance philosophy. The present system relies heavily on manual processes Defence ML/AI
14 Vibration control mechanism Vibration control mechanism A robot that can provide a stable platform for stable aiming by shooters on vehicles in difficult terrain where traditional shocker in vehicles fail. Defence Robotics and automation
15 COMPUTATIONAL MILITIARY REASONING COMPUTATIONAL MILITIARY REASONING • During warfare times often military find it difficult to device best strategies depending upon the complexity posed by the natural terrain of the battlefield and the locations of the enemy, it requires them to consider each and every aspect of the war zone as high risk of human life is involved. • Consider the tech behind the unsupervised learning of ML which can be used to define patterns among datasets to apply on the situation where all affecting features can be involved so that the best possible strategy can be applied. Defence ML/AI
16 Routine check ups and servicing of products Routine check ups and servicing of produts is done on a regular schedule based structure which a lot of times fails in emergency situations or ends up trying to ammend a device/tool which needs no attention. Therefore, the use of CBM (Condition Based Maintainence) can be deployed using Data analytics/ML/AI to make this process far more efficient and save a lot of money. Defence ML/AI
17 Intrusion Detection System If a software intrusion is found, we can design bot autonomously produces a “working control flow hijack exploit string” i.e. secures vulnerabilities. This has important applications for defense. For example, automated signature generation algorithms take as input a set of exploits, and output an intrusion detection system (IDS) signature (aka an input filter) that recognizes subsequent exploits and exploit variants. ML/AI Defence ML/AI
18 Fraud detection Fraud detection Banks are obliged to collect, analyze, and store massive amounts of data. But rather than viewing this as just a compliance exercise, machine learning and data science tools can transform this into a possibility to learn more about their clients to drive new revenue opportunities. Nowadays, digital banking is becoming more popular and widely used. This creates terabytes of customer data, thus the first step of data scientists team is to isolate truly relevant data. After that, being armed with information about customer behaviors, interactions, and preferences, data specialists with the help of accurate machine learning models can unlock new revenue opportunities for banks by isolating and processing only this most relevant clients’ information to improve business decision-making. Fintech ML/AI
19 Cognitive Radio and Cognitive Electronic Warfare. (ML/AI) Cognitive Radio and Cognitive Electronic Warfare. (ML/AI) AI can be employed in development of Cognitive radio with dynamic spectrum management to enhance communications, while pursuing offensive capabilities in cognitive electronic warfare through the application of machine learning to learn and rapidly devise countermeasures for adversary systems. As the electromagnetic spectrum becomes ever more complex and contested, the introduction of AI will be critical to achieving an advantage. Expected Outcome: The resulting software should learn from past use cases of cognitive electronic warfare using any machine learning algorithms and use AI to produce future use cases. Defence ML/AI
20 Intrusion Detection using Real time Image processing and AI Intrusion Detection using Real time Image processing and AI (ML/AI) Build an advanced solution focusing on the next generation of intrusion detection that employs the latest sensors and data fusion technologies with automation principals to provide Complete and autonomous Situational Awareness of a perimeter, which provides continuous tracking of the threats while not only providing Early Detection Capabilities but also Verification of the threat and Classification in the border areas and war like situations. Defence ML/AI
21 Faster checking of Luggage at airport by defence personnel Faster checking of Luggage at airport by defence personnel. (ML/AI and Image processing) Every day, 1.5 million passengers and their baggage are screened at Indian airports. Millions more are screened at international airports, office buildings, infrastructure centres, and more. Beyond people, billions of pieces of cargo, mail, and freight are scanned. What most of these have in common is little automation and very manual process. Build a software to do algorithmic analysis of security x-ray images to determine if they contain a threat, such as a firearm of explosive. You can employ deep learning-based algorithms and provide a user interface for screeners to communicate with the algorithms. Defence ML/AI
22 Intelligent surveillance video analysis using ML Intelligent surveillance video analysis using ML (ML/AI and Video processing) The Intelligent video analytics market will grow in excess of 30% per year with an estimated size of $1.2 billion in 2018. In defence industry, searching through huge amounts of surveillance to look for specific traits is of prime importance. Utilize AI, Machine Learning and Deep Neural Networks that is capable of searching massive amounts of video and look for specific traits. Defence ML/AI
23 Personnel Vetting system Personnel Vetting system (ML/AI and Video processing) Terrorists and criminals exhibit subtle clues or gestures in execution of attacks, and it’s possible to detect all these gestures prior to an attack. Terrorists and criminals behave differently relative to the crowd, but it’s unclear how they will behave differently (e.g. avoiding eye contact with a policeman, keeping a regimented distance to the target). By looking for anomalies in a scene rather than detecting individual actions, These traits are more accurate in predicting terror attacks and crimes . The product can also be used in retail to curb shoplifting and provide valuable marketing insights to retailers. Secure is a company paired its video analytics solution with mobile branded pay to observe shoppers' behaviour in-store and send relevant deals to them. Use that example to build your prototype. Defence ML/AI
24 Protection System For Radars Protection systems for radars. (ML/AI and data analysis) Active Protection System (APS) are needed for AFVs. The data collected by radar should determine threat levels adequately and the self-defence munitions should not cause high levels of collateral damage, particularly to accompanying dismounted infantry. Defence ML/AI
25 MI to detect erratic boats in Sri Lanka Areas MI to detect erratic boats in srilanka areas. (AI/ML and Realtime Data analytics) Recently the fishermen have been directed to install GPS troubled by instances when they step outside indian waters willingly or unwillingly. The system should pridict which fishermen are more likely to default. Also if a fisherman defaults then there should be signal both to fishermen and authorities. Defence ML/AI
26 Use of AI to solve logistical challenges in Army Use of AI to solve logistical challenges in Army (AI) The future battlefield shall be characterised by full spectrum conflict ranging from low intensity to full scale conventional combat including non contact warfare in a nuclear backdrop. In such a scenario, logistics sustenance becomes critical thereby necessitating introspection and review of the existing capabilities. AI can be used to pridict the demand and the supply in the foreseeable future. Defence ML/AI
27 MI to detect erratic boats in Sri Lanka Areas MI to detect erratic boats in srilanka areas. (AI/ML and Realtime Data analytics) Recently the fishermen have been directed to install GPS troubled by instances when they step outside indian waters willingly or unwillingly. The system should pridict which fishermen are more likely to default. Also if a fisherman defaults then there should be signal both to fishermen and authorities. Defence ML/AI
28 Predictive capability to anticipating specific incidents and suggest measures. For military intelligence, algorithms can be developed to analyze hundreds of thousands of open-source documents generated each hour and compare them to billions of historical events and then have predictive capability to anticipating specific incidents and suggest measures proactively. Data Analytics Defence Data Analytics
29 Identify hot spots for operational planning Due to increase of smart gadgets and IoT technology in daily life, data generation in the defence forces is also increasing and hence it will give rise to many opportunities in future. Big Data with computational analysis, can deliver insights enabling commanders to proactively identify hot spots for operational planning. For example- The best places to load emergency supplies, temporary halts in operations, attacking points in hostage held cases. Data Analytics Defence Data Analytics
30 Patterns or indications of terrorists in a civilian population Differential privacy offers a way to maintain private data on a network, while providing targeted “provable assurances” to the protected subpopulation and using algorithms to investigated the targeted population. This type of solution can be used in trying to find patterns or indications of terrorists in a civilian population, find infected citizens within a larger healthy population, amongst other scenarios. Data Analytics Defence Data Analytics
31 Blockchain Battleships BLOCKCHAIN BATTLESHIP • Battleships are equipped with a vast array of different armaments. Guns of varying firepower, but also missile launchers, torpedo launchers, and anti-aircraft batteries. In the face of enemy fire, all these weapons must work together seamlessly. This relies on sensory technology integrated with the weapons control systems. • The naval ships of many countries, including the US, Japan, and Spain rely on one system to do this. However, it has a crucial weakness – it is a centralized system, a single point of failure could take down the entire system. • Considering the tech behind blockchain, how the major weakness of this centralized control system can be solved so that we can come with a better solution. Defence Blockchain
32 Safe platform for carrying out transactions and communicating globally. SECURITY (BLOCKCHAIN & DEFENCE) • The defense sector has to deal with data manipulation and hacking threats and for managing this risk – they have to invest in hiring skilled security personnel and expensive data protective systems. • How can blockchain be enforced in this scenario to ensure a safe platform for carrying out transactions and communicating globally thus reducing the need for costly infrastructure and systems for managing security. Defence Blockchain
33 Preventing cyber and physical attacks PREVENTING CYBER & PHYSICAL ATTACKS (BLOCKCHAIN ) • Cyber attacks have been a consistent and critical issue in the defense industry, and the military organizations have been • continuously battling the threats from data manipulation to hacking. The current databases and security protocols can no longer fend off the global cyber threats; as there is a need for heightened security at each level. • With the traditional methods – complete network becomes vulnerable even if the enemy disables one data center • Consider the tech behind the blockchain technology to create a system that is immune to both cyber and physical attacks. Defence Blockchain
34 Sensors function in distributed database manner so that its exploitation becomes far more difficult. Blockchain can record the data collected by AI-powered drones immutably and in real time. It can also record the flight decisions and actions taken by the drone. With each drone operating as part of a decentralized network, then if it is later destroyed, whatever it has collected or performed would still be recorded on the blockchain. However, it has a crucial weakness – it is a centralized system, a single point of failure. Take down the Aegis, and you can take down the ship. Therefore we can use Block Chain technology to make the sensors function in distributed database manner so that its exploitation becomes far more difficult. Defence Blockchain
35 Widespread adoption of AM into general manufacturing supply chains The use of Additive Manufacturing was not put into use since it didnt clear the digital thread criteria for defense. We can apply Blockchain here since using a decentralized network in this way meets the requirements of the digital thread. It provides a secure, theoretically unlimited data store. It also allows the sharing of data across the entire AM process using the nodes in the network.Blockchain could also prove to be an enabler for widespread adoption of AM into general manufacturing supply chains Defence Blockchain
36 Protection of drone data in case of failure Protection of drone data in case of failure (Blockchain) Blockchain can record the data collected by unmanned drones immutably and in real time. It can also record the flight decisions and actions taken by the drone. With each drone operating as part of a decentralized network, then if it is later destroyed, whatever it has collected or performed would still be recorded on the block chain. Expected Outcome: Use block chains to build a software for given use cases which is scalable in the future. Defence Blockchain
37 Protection of drone data in case of failure Protection of drone data in case of failure (Blockchain) Blockchain can record the data collected by unmanned drones immutably and in real time. It can also record the flight decisions and actions taken by the drone. With each drone operating as part of a decentralized network, then if it is later destroyed, whatever it has collected or performed would still be recorded on the block chain. Expected Outcome: Use block chains to build a software for given use cases which is scalable in the future. Defence Blockchain
38 Additive Manufacturing Additive Manufacturing (Blockchain) Additive manufacturing (AM) is the military term for what most of us would know as 3Dprinting. One reason that AM has failed to gain widespread adoption throughout manufacturing supply chains is thought to be the absence of a “digital thread.” A 2016 Deloitte paper defines the digital thread as having three core components: indefinite ability to store and reference data, means of identifying if a design doesn’t work correctly or needs improvement, and the scalability to feed forward in the production process, applying process improvements using data gathered from each preceding step. Build a decentralized network in a way that meets the requirements of the digital thread. It provides a secure, theoretically unlimited data store. It also allows the sharing of data across the entire AM process using the nodes in the network. Defence Blockchain
39 Prevent Service Level Agreement Prevent Service Level Agreement (SLA) Breaches SLAs help set and manage business expectations, and if these expectations are not met, there’s a penalty for non-compliance that can be expensive. To avoid these fines, IT organizations often look to automation software to improve internal processes, and consequently, service levels. Using workload automation, hospitals can reduce the risk of breaching SLAs by taking advantage of automation’s advanced monitoring and alerting capabilities. It also provides built-in monitoring that warns users when jobs are taking longer than expected or are in danger of overrunning the deadline, therefore helping to ensure the SLA is not breached. Healthcare Robotics and Automation
40 Detect Disease using AR Detect disease using AR Have you ever been in a situation when it was hard to describe to the doctor what was bothering you? It is a common problem to all us, the roots of which extend to overreacting and lack of knowledge. And what is the most important, it impacts on finding out the accurate diagnosis. The first steps to find the solutions are already made. To increase patients education create a model that uses augmented reality to show the simulation of the vision, harmed by the different disease. It helps patients to understand their conditions and describe their symptoms correctly. Healthcare AR/VR
41 Hands on Training for Surgery using VR Hands-On Training/VR Medical Learning The use of virtual reality livestream of a surgery earlier is via a series of virtual experiences recorded from the perspective of a consultant surgeon in an actual operating theater. Unlike the first streamed events, in which a 360 degrees camera was mounted on a table next to the procedure, the camera now can be literally attached to the head of one of the men performing the surgery. Healthcare AR/VR
42 Remote Surgery using Virtual Reality Remote Surgery (VR) With virtual reality, the greatest surgical specialists can treat patients all over the world, without ever stepping onto a plane. Virtual reality offers the opportunity to make this type of remote surgery even more effective. With the use of a head-mounted display and haptic gloves, a surgeon could virtually transport themselves to an operating room thousands of miles away, able to use their natural skills and senses to save lives. It seems only a matter of time before the best surgeons are able to operate all over the world without ever leaving their hospital. Healthcare AR/VR
43 VR In Exposure Therapy and Treatment of Anxiety Disorders With VR VR in Exposure Therapy and Treatment of Anxiety Disorders With VR as a deeply immersive and visual medium, it's not surprising to find its use in exposure therapy. Interactive VR platform in use at university centers, military bases, and veterans hospitals can offers patients virtual environments that mirror their traumatic experiences. A trained therapist controls the emotional stimuli and monitors their stress responses. Patient Recovery and Wellness using VR Many of these applications will benefit from the ongoing research in biofeedback monitoring. A highly innovative VR platform to map and respond to brain activity for applications in healthcare. VR is exploring ways to expand the effectiveness of using VR in therapy. A rehabilitation software motivates patients to perform specific movements, using games, movies, and 360 degrees interactive guides. What makes these applications incredibly valuable is the precise analytics they collect that can lead to further customization of patient care. Healthcare AR/VR
44 Advancement in Surgical Process using AI ADVANCEMENT IN SURGICAL PROCESSES (AI) o For decades surgeons have split their attention between their patient and an screen providing a magnified capture of the procedure. However, it has always seemed counterintuitive that surgeons have to look away from the actual surgical site, in order to look at the monitor, especially during high-risk procedures where there is a greater chance of something going wrong than anything going right. o AR applications enable medical professionals to recreate real-world images of anatomical structures virtually, an image they can then project onto the surgical site in real-time using the HMD technology. Essentially this is a form of data visualization—a high-resolution projection of patient vitals and other relevant information that the surgeon would normally have to divert attention to obtain. Healthcare ML/AI
45 Treatment of Psychological disorders using AR/VR Altering perception, emotion and physiological states o Studies have considered how the form we take in virtual reality can affect our perception and actions. One study suggests that embodying the body of a young child can influence perception of object sizes such that objects are perceived as being much larger than if the objects were perceived by an individual embodying an adult body. o The sense of presence in virtual reality is also linked to the triggering of emotional and physiological responses. Research suggests that a strong presence can facilitate an emotional response, and this emotional response can further increase one's feeling of presence.[ o This application of VR can have enlightening impact in treatment of psychological disorder which in this modern hectic world is one of our major concern. Healthcare AR/VR
46 Treatment of Diseases using AR/VR AR/VR FOR TREATMENT OF DISEASES(HEALTHCARE) • VR and AR are unique in that they are immersive technologies. Unlike video, VR actually puts you in the environment and AR puts digital things in your environment. It is interactive as well but mostly it is safe. If a person has a fear of snakes it is risky to expose that person to real snakes but far safer to expose the person to virtual snakes. • PTSD treatment has been shown to benefit from VR and AR as well by gradually exposing the subject to the stimuli that caused the PTSD in the first place in a safe manner and allowing the subject to work through the trauma at the subject's own pace. Training in handling tense situations also benefits from VR and AR by allowing people to work through various scenarios with no consequence and learning experientially how to handle them in the real world. What we learn in VR and AR carries over to real life and we can practice safely as many times as we want. Healthcare AR/VR
47 ASMR using AR/VR Doctors face a lot of difficulty at times to control patients (specially small children) during certain procedures because of the patients being to scared and anxious during the treatment. By using techniques such as ASMR and by creating meditative scenarios, the efficiency of pain killers/ anesthesia can be greatly increased if combined with AR/VR devices. Healthcare AR/VR
48 To get the trigger response of the patients using AR/VR There are certain physical/situation based triggers which are noticed often in addicts and certain patients with mental conditions.Using the data of the common scenarios of the previously handled patients, we can create a device using VR/AR , to help the doctor/expert to simulate those exact situations to trigger the patients respnse for the purpose of researching/explaining/faster recovery. Healthcare AR/VR
49 Optimizing Clinical Trials using Machine Learning Optimizing Clinical Trials (ML) There have been several calls for machine learning technologies to be more closely involved in clinical research trials as they could provide several benefits including identifying ideal candidate groups based on factors such as genetics. This in turn, it is argued, would make clinical research trials that were not only smaller in size and, therefore, quicker and more efficient, but also much less expensive in both financial terms and with regards to clinical resources. Using machine learning during these trials could also be of major benefit to those organizations and institutes undergoing such trials with regards to the safety and accessibility of their subjects and data. Healthcare ML/AI
50 Diagnosis of Facial dysmorphic features using ML Diagnosis of facial dysmorphic features (ML) Facial recognition software is being combined with machine learning to help clinicians diagnose rare diseases (in this case, from facial dysmorphic features). Patient photos are analyzed using facial analysis and deep learning to detect phenotypes that correlate with rare genetic diseases. Healthcare ML/AI
51 Detect the slightest change in the persons health using data analytics Using wearables data to monitor and prevent health problems The amount of data that the human body generates daily equals two terabytes. Due to advances in technology, we can now collect most of it, including info about heart rate, sleep patterns, blood glucose, stress levels and even brain activity. Equipped with such amount of health data, scientists are pushing the boundaries in health monitoring. Machine learning algorithms can be used to detect and track more common conditions, like heart or respiratory diseases. Collecting and analyzing heart rate and breathing patterns, technology can detect the slightest changes in the patient’s health indicators and predict possible disorders. Healthcare ML/AI
52 Enabling preventive/predictive maintainance using Big Data ENABLING PREVENTIVE/PREDICTIVE MAINTENANCE USING ML/BIG DATA Machine learning algorithms can aid in effective planning and execution of predictive maintenance. Predictive maintenance employs monitoring and prediction modelling for determining the condition of the machine and for predicting what is likely to fail and when it is going to happen. Machine learning systems can help in adjusting maintenance interval, where the same maintenance is conducted but shifted backwards or forward in time or mileage. Thus, machine learning systems can enhance predictive maintenance capabilities and help in accurate prediction of future failures instead of diagnosing already existing ones. Healthcare ML/AI
53 Drug Creation using AI Drug Creation (AI) Developing pharmaceuticals through clinical trials can take more than a decade and cost billions of dollars. Making this process faster and cheaper could change the world. For this a AI powered program can be created which scan existing medicines that could be redesigned to fight the disease. Healthcare ML/AI
54 AI assisted Robotic Surgery AI-assisted robotic surgery In orthopedic surgery, a form of AI-assisted robotics can analyze data from pre-op medical records to physically guide the surgeon’s instrument in real-time during a procedure. It can also use data from actual surgical experiences to inform new surgical techniques. Cognitive surgical robotics combines information from actual surgical experiences to improve surgical techniques. In this type of procedure, medical teams integrate the data from pre-op medical records with real-time operating metrics to improve surgical outcomes. The technique enhances the physician’s instrument precision and can lead to a 21 percent reduction in a patient’s length of hospital stay post-operation. Healthcare ML/AI
55 Administrative Workflow Assitance using AI Administrative workflow assistance (AI) AI-powered solutions that rely on machine learning help health care providers cut documentation time and improve reporting quality. Computer-assisted physician documentation (CAPD) like this offers real-time clinical documentation guidance that helps providers ensure their patients receive an accurate clinical history and consistent recommendations. This also inculcates other advanced technologies to mine big data and help physicians provide a more personalized and efficient treatment experience. Healthcare ML/AI
56 Healthcare Identitiy Management using AI Healthcare identity management (AI) The AI technology is interoperable with existing computer systems for healthcare providers. One of its main functions is navigating EHRs, as it can transfer patient data, audit data retrieval, process medical bills, automate insurance data, process claims, enter eligibility checks, and report analytics. Healthcare ML/AI
57 Medcial Error Prevention Using AI MEDICAL ERROR PREVENTION VIA AI Prevent medical errors by offering both clinical decision support during critical medical events as well as documenting those events electronically in real time. AI presents opportunities for application to take the data have gathered from patients and be able to clinically innovate to improve patient outcomes to an even greater extent. AI improves reliability, predictability, and consistency with quality and patient safety. AI, as applied to software, is used as a decision augmentation tool, but it should not have free reign without human interaction and guidance. While it can’t replace doctors and nurses, it can make them more effective, efficient and happier on the job as it takes the cognitive burden off our providers – which increases confidence as well as reduces stress and anxiety. Healthcare ML/AI
58 Predicting why patients are being admitted again using Data Analysis. Predicting why patients are being readmitted Being able to predict patient readmission can help hospitals reduce their costs as well as increase population health. Knowing who is likely to be readmitted can also help data scientist find the “why” behind specific populations being readmitted. This is not just important because of public health but also because the affordable care act reduces the amount of medicaid for claims when readmission occur prior to 30 days. Hospitals around the country are melding multiple data sources via DATA ANALYTICS beyond just typical claims data to get insight into what is causing readmission. One of the common approaches is researching ties between readmission and socioeconomic data points like income, addresses, crime rates, and air pollution. Similar to the way marketers are targeting customers using machine learning and product recommendation systems that factor socioeconomic data points to tell how to sell to a customer. Hospitals are trying to better tailor their care to help their patients based off of how other similar patients have responded in the past. Healthcare Data Analytics
59 Body Sensor Networks usind Data Analyis Body sensor networks: in order to monitor various purposes like vital signs, gait patterns, balance and fall, daily activities etc. or sensing, communicating and processing various physiological parameters, body sensor networks can be used in the soldiers deployed in extreme weather conditions or during war situations. The data generated by this may help in designing healthy diet chart or prescriptive medical help for them which will increase their survival rate in these radical conditions. Data Analytics. Healthcare Data Analytics
60 Body Sensor Networks usind Data Analyis Body sensor networks: in order to monitor various purposes like vital signs, gait patterns, balance and fall, daily activities etc. or sensing, communicating and processing various physiological parameters, body sensor networks can be used in the soldiers deployed in extreme weather conditions or during war situations. The data generated by this may help in designing healthy diet chart or prescriptive medical help for them which will increase their survival rate in these radical conditions. Data Analytics. Healthcare Data Analytics
61 Shift Management using Data Analysis One of the ways big data/data analytics can be used in healthcare..... we will look at one classic problem that any shift manager faces: how many people do I put on staff at any given time period? If you put on too many workers, you run the risk of having unnecessary labor costs add up. Too few workers, you can have poor customer service outcomes – which can be fatal for patients in that industry. Healthcare Data Analytics
62 Monitoring patients health through IoT Monitoring patients health through IoT The Wireless Medical Telemetry Service (WMTS) is used for remote monitoring of a patient’s health. Wireless medical telemetry systems include devices to measure patients' vital signs and other important health parameters (e.g., pulse and respiration rates) and devices that transport the data via a radio link to a remote location, such as a nurses' station, equipped with a specialized radio receiver. Healthcare IoT
63 Electronic Health Record Using IoT ELECTRONIC HEALTH RECORD USING IoT An electronic health record (EHR) is a digital version of a patient’s paper chart. EHRs are real-time, patient-centered records that make information available instantly and securely to authorized users. While an EHR does contain the medical and treatment histories of patients, an EHR system is built to go beyond standard clinical data collected in a provider’s office and can be inclusive of a broader view of a patient’s care. Healthcare IoT
64 Decentralization of Hospitals Using IoT DECENTRALIZATION OF HOSPITALS USING IOT IoT can decentralize the otherwise specific hi-tech constituencies in the healthcare domain. Conventionally, ICUs, labs, radio diagnostics and operation theatres were the adopters of advanced technologies, including those enabled through ICT. With IoT, the healthcare sector can connect the dots by erasing the boundaries of a hospital or clinic and create a real-time continuous interface between doctors, patients and other important stakeholders of the healthcare infrastructure. Healthcare IoT
65 Transit Management using IoT Transit Management(IoT) In case of sensitive medicines and vaccines, it becomes essential to monitor the ambient temperature of a container carrying them. Sensors can offer real-time monitoring of cases and containers and report instances of unfavorable modification of ambient environment. Transmitted data logged can be analyzed to gain all kinds of insights leading to safer transport of drugs. Also it can help to prepare a system to maintain the exact temperature of the system without any variability. Healthcare IoT
66 Providing Telemedical Facilities PROVIDING TELEMEDICAL FACILITIES(CLOUD COMPUTING & HEALTCARE) • Providing health care from a distance has always been a challenge in the healthcare industry. • Several advancements have been made recently in this field, however cloud computing can certainly help in making this process more efficient than ever before. • Through the Cloud, doctors and patients can initiate virtual sessions, which enable the use of enhanced patient care services. Users can share, view, and store their records in the Cloud, while doctors can archive and access them remotely as well. By placing documents in the Cloud, different healthcare centers can access patient data with the press of a button, without having to bother about endless paperwork and delayed treatment issues. Healthcare Cloud Computing
67 Providing Telemedical Facilities PROVIDING TELEMEDICAL FACILITIES(CLOUD COMPUTING & HEALTCARE) • Providing health care from a distance has always been a challenge in the healthcare industry. • Several advancements have been made recently in this field, however cloud computing can certainly help in making this process more efficient than ever before. • Through the Cloud, doctors and patients can initiate virtual sessions, which enable the use of enhanced patient care services. Users can share, view, and store their records in the Cloud, while doctors can archive and access them remotely as well. By placing documents in the Cloud, different healthcare centers can access patient data with the press of a button, without having to bother about endless paperwork and delayed treatment issues. Healthcare Cloud Computing
68 Protection of Data-Driven healthcare system using Cloud Computing Protect information in a data-driven healthcare system Adopt token-based access control. Data encryption is a great step, but you still need to control who and what can transmit and receive data. Instead of asking millions of devices to filter out topics they don’t subscribe to, have your network handle the bulk of this task. Within the publish/subscribe paradigm, token-based access control allows you to distribute tokens to devices and grant access to specific data channels. This gives you fine-grained control over the tokens that are created, the devices that receive those tokens, and the data that those tokens grant access to. Your network effectively becomes a traffic cop, controlling which devices can speak and listen to the network. Healthcare Cloud Computing
69 Advanced options using AR Advanced Options using AR Some real estate firms have apps that allow customers to pass by and scan houses with their phones or tablets to get more detailed info about the property. Advanced options that we may see soon are mortgage calculators and 3D interiors in the AR environment. Real Estate AR/VR
70 Enhancing Real Estate preparations using ARVR Use AR VR model to enhance real estate properties. VR and AR are excellent not only during property presentation, but also at the stage of its design and construction. Plans presented with the use of new technologies are much clearer, and the visualization of various stages of construction improves the work of the people responsible for its implementation. Virtual reality allows us, in this case, to visit a house or apartment that is just emerging and look into the walls and structural elements. In turn, thanks to augmented reality, ordinary, classic design can turn into an interesting, much more transparent, three-dimensional model. Create a AR VR model which can enhance the conventional property presentation methods to a very interactive and convincing manner. Real Estate AR/VR
71 AR VR implementation of house sales AR VR implementation of house sales. Alternative and virtual reality technologies are constantly evolving and the real estate industry is one of the areas that perfectly integrate into this. We can even say say that just as the Internet has revolutionised trade, so will AR and VR change the approach to designing, building, selling or renting flats, homes and other buildings. More and more companies specialise in this type of visualisation, seeking new ideas for unique, attractive presentation of real estate and distinction against a growing number of offers. In AR & VR Software House we also notice that this is not a transient trend, but a constantly growing one – technology allows us to carry out projects that we knew only from science fiction novels and movies Real Estate AR/VR
72 Train Employess using VR Train employees using VR In order to provide high-quality services to customers, financial institutions need to make sure they are recruiting top talent and training all employees to give them skills that will help them do their jobs to the best of their abilities. Some banks are using a VR experience to show tech recruits how innovative and tech-savvy the bank is. Potential employees, as well as current employees, use this platform to form teams and create apps that will help the bank’s customers. . Fintech AR/VR
73 Biometric Security using AR/VR Biometric Security Using AR VR. In order to create a more secure customer experience, biometric security could be introduced in an AR system that could then connect with a VR world. These could be used to access VR bank services, make ATM transactions, or make payments. Fintech AR/VR
74 Financial Literacy using AR/VR Provide financial literacy using AR VR For both employees and customers of financial institutions, education is important for understanding changes in financial systems. AR and VR have huge potential for teaching people new information in the VR Finance. Fintech AR/VR
75 Supply chain using VR Delivery drivers are tasked with ensuring that products make it to stores, offices, homes, and distribution centres in a timely manner without damage done to products. Current processes include using navigation systems and manually checking cargo. With temperature-controlled loads, things are even more complex. These solutions are often time consuming and distracting. The latter increases the chance for accidents. VR can be used to significantly improve this part of the supply chain process. VR can be used to superimpose important information directly onto the windshield. Without glancing at a handheld device, drivers can see alternate routes, blocked roads and traffic snags. Even information about the load itself can be seen without the need to stop, climb into the back of the truck, and see what’s going on. Propose a VR model which can help the drivers and can accelerate the delivery process. Logistics and Transportation AR/VR
76 Warehouse Modelling using AR Warehouses are becoming more than just huge storage rooms. They are multipurpose operational hubs for enterprises where products can be stored, assembled, labelled, packaged or sorted for further deployment and delivery. The need for warehouses to act as hubs for these activities requires nearly instantaneous rearrangements to fit into new roles. With AR, warehouses can be easily remodelled digitally to see what needs to be changed to accommodate requirements and how it will affect other components in the process. The obvious benefit is that you do not have to physically rearrange the entire warehouse to try out new alignments. Modifications can be easily overlaid on digital canvases that cover the real environment and provide decision makers with a first-hand view of how measures need to be calculated for the realignment. Construct an AR model which can be used in the modelling of the warehouse. Logistics and Transportation AR/VR
77 Detect Leverage ML to detect fraudulent and abnormal features Create Leverage machine learning to detect fraudulent and abnormal financial behaviour Detecting fraudulent and anomalous activities in financial sector is very crucial and equally difficult to accomplish too. Difficulty lies due to the fact that the wrong players come up with newer and newer tactics to game the system. Having a pre set rules to accomplish this task is simply not going to work in the long run because of the sheer dynamicity of the problem in hand. Create Leverage machine learning to detect fraudulent and abnormal financial behaviour, and/or use AI to improve general regulatory compliance matters and workflows. Logistics and Transportation ML/AI
78 Customer Satisfaction using ML Leverage machine learning to improve customer satisfaction while reducing costs. Financial planning is a very critical task not just for organizations and corporations but even for individuals. Keeping track of finances, making decisions regarding investment and trading require a detailed knowledge and analysis of what’s going on in the fintech world. The growing magnitude of data and information in this segment is simply impossible to be reckoned with for human analysts. This is where the concept of robo-advisers has sprung up in the recent years where machine learning is used for financial planning. Leverage machine learning to quote optimal prices, manage claims effectively and improve customer satisfaction while reducing costs. Logistics and Transportation ML/AI
79 Risk Calculation using ML Using an ML model against a dataset which contains various parameters of the applicant and the risk involved. Loan underwriting is the process of assessing the risk before sanctioning loan or mortgage to an individual by the banks. Again, this is a huge domain. There could be literally millions of applications and to determine which one is eligible and which one is not is not an easy task. Assisted with human intelligence this gigantic problem can be greatly simplified even to determine creditworthiness of insurance policy, regulatory and compliance risk assessment for individuals as well as organizations. In order to evaluate such applications using an ML model against a dataset which contains various parameters of the applicant and the risk involved. Logistics and Transportation ML/AI
80 Customer Data prevention using ML Managing customer data Machine learning is crucial for effective detection and prevention of fraud involving credit cards, accounting, insurance, and more. Proactive fraud detection in banking is essential for providingsecurity to customers and employees. The sooner a bank detects fraud, the faster it can restrict account activity to minimize loses. By implementing a series of fraud detection schemes banks can achieve necessary protection and avoid significant loses. The key steps to fraud detection include: --Obtaining data samplings for model estimation and preliminary testing --Model estimation --Testing stage and deployment. Since every data set is different, each requires individual training and fine-tuning by data scientists. Transforming the deep theoretical knowledge into practical applications demands expertise in data-mining techniques, such as association, clustering, forecasting, and classification. Fintech Robotics and Automation
81 Risk Modelling using Big Data Risk modeling for investment banks Risk modeling is a high priority for investment banks, as it helps to regulate financial activities and plays the most important role when pricing financial instruments. Investment banking evaluates the worth of companies to create capital in corporate financing, facilitate mergers and acquisitions, conduct corporate restructuring or reorganizations, and for investment purposes. That’s why risk modeling appears extremely substantial for banks and is best assessed with more information in hand and data science tools in reserve. Now, through the power of Big Data, innovators in the industry are leveraging new technology for effective risk modeling and therefore better data-driven decisions. Fintech Data Analytics
82 Personalized Marketing for Data Analytics Personalized marketing The key to success in marketing is to make a customized offer that suits the particular client’s needs and preferences. Data analytics enables us to create personalized marketing that offers the right product to the right person at the right time on the right device. Data mining is widely used for target selection to identify the potential customers for a new product. Data scientists utilize the behavioral, demographic, and historical purchase data to build a model that predicts the probability of a customer’s response to a promotion or an offer. Therefore, banks can make an efficient, personalized outreach and improve their relationships with customers. Fintech Data Analytics
83 Life Value Prediction using Data Analytics Lifetime value prediction Customer lifetime value (CLV) is a prediction of all the value a business will derive from their entire relationship with a customer. The importance of this measure is growing fast, as it helps to create and sustain beneficial relationships with selected customers, therefore generating higher profitability and business growth. Acquiring and retaining profitable customers is an ever-growing challenge for banks. As the competition is getting stronger, banks now need a 360-degree view of each customer to focus their resources efficiently. This is where the data science comes in. First, a large amount of data must be taken into account: such as notions of client’s acquisition and attrition, use of diverse banking products and services, their volume and profitability, as well as other client’s characteristics like geographical, demographic, and market data. Fintech Data Analytics
84 Improve banking strategies using ML/AI The growing importance of analytics in banking cannot be underestimated. Machine learning algorithms and data science techniques can significantly improve bank’s analytics strategy since every use case in banking is closely interrelated with analytics. As the availability and variety of information are rapidly increasing, analytics are becoming more sophisticated and accurate. The potential value of available information is astonishing: the amount of meaningful data indicating actual signals, not just noise, has grown exponentially in the past few years, while the cost and size of data processors have been decreasing. Distinguishing truly relevant data from noise contributes to effective problem solving and smarter strategic decisions. Real-time analytics help to understand the problem that holds back the business, while predictive analytics aid in selecting the right technique to solve it. Significantly better results can be achieved by integrating analytics into the bank workflow to avoid potential problems in advance. Fintech ML/AI
85 Improving customer segmentatin using data analytics. Customer segmentation means singling out the groups of customers based on either their behavior (for behavioral segmentation) or specific characteristics (e.g. region, age, income for demographic segmentation). There is a whole bunch of techniques in data scientists’ arsenal such as clustering, decision trees, logistic regression, etc. and, as a result, they help to learn the CLV of every customer segment and discover high-value and low-value segments. There is no need to prove that such segmentation of clients allows for the effective allocation of marketing resources and the maximization of the point-based approach to each client group as well as selling opportunities. Do not forget that customer segmentation is designed to improve customer service and help in loyalty and retention of customers, which is so necessary for the banking sector. Fintech Cloud Computing
86 Cloud to avail financial services Cloud for the customers to avail Financial Service Cloud enables financial services companies to quickly respond to the changing customer, market, and technological requirements. This provides an effective competitive edge. To increase the Scalability and flexibility using cloud computing develop a platform for the customers to avail financial services quickly. Fintech Cloud Computing
87 Offer standardisation in Financial Services using Cloud Cloud Offer standardisation in Financial Services using Cloud Cloud offers standardization that facilitates integration of new applications and technologies in the future. Business operations in the modern world are closely aligned with technology, thus cloud service providers make it possible for financial services to drive out complexity. Create a platform to offer standardisation in financial services using cloud computing Fintech Cloud Computing
88 Improve customer relations using cloud in Financial Services Improve customer relation using Financial Services using Cloud Huge computing power offered by the cloud and big data empower financial services to create systems with customized solutions and offer better insights to their clients, increasing customer satisfaction. Create a platform to offer customer relation in financial services using cloud computing. Fintech Cloud Computing
89 KYC using blockchains Client onboarding o To satisfy compliance requirements such as KYC (know your customer), insurance providers must collect, validate and verify key documents to prove characteristics such as name, address, birth, health and economic status. Time delays are common as various third parties and internal departments must review the data to complete their due diligence processes. Then, companies spend vast resources fixing any errors that occurred while records were being reconciled. o However inorder to tackle this problem blockchain network can be used where a distributed network can be created so the necessary documentation can be made available to whoever has permissioned access. The records are secured with cryptography and linked together, which prevents them from being altered retroactively. These characteristics facilitate the secure sharing of information across an organization and to appropriate third parties. Plus, if customer identities are already secured with blockchain, insurers can efficiently verify their eligibility without needing to go to multiple sources. Logistics and Transportation Blockchain
90 Underwriting using blockchains Underwriting(BLOCKCHAIN) o Through the underwriting process, insurers evaluate the risk of furnishing a client with a policy, how much coverage the client should receive and how much they should pay for it. Insurance might be a gamble, but no insurance company will play the game without thoroughly looking at the data and making sure the odds are favorable. Sometimes, it can take months to a year to evaluate the risk versus reward for larger corporate policies. o However as a better way a blockchain can be created in which external data can be included to decrease risk liability and provide semi-automatic pricing. This can help to automate and shorten the underwriting process, reducing the cost of operations. o Blockchains can also bring transparency and improve trust in the underwriting process by enabling shared visibility in complex multinational programs. Fintech Blockchain
91 Claims processing blockchains Claims processing(BLOCKCHAIN) o For a policy holder, making a claim can be a long and confusing process. And then you have to wait as hundreds of insurers and reinsurers figure out where contracts are, which are correct, who already paid what, and which ledger has the right accounting. It’s a process that can take quite a while, even if you don’t factor in the extra time needed to adhere to tighter regulations for combating fraudulent claims. o However blockchain instead could be used to get informed about insured goods and events.. Provenance, or knowing where something came from, can be very helpful in discerning counterfeit items. With less risk of fraud, claims can be handled in a timelier manner. Fintech Blockchain
92 Blockchain for Sharing Trades Blockchain for Sharing trades Share trading will soon be impacted by blockchain technology. Utilizing blockchain technology allows for greater trade accuracy, and a shorter settlement process. Create a blockchain network to share trades so as to increase the security in the trading of shares. Fintech Blockchain
93 Blockchain to protect your ownership Blockchain to protect your ownership A smart appliance is a device that connects to the internet and gives you more information and control than before. For instance, a code connected to your appliance can be linked to the internet and alert you when your cookies are ready or if your laundry has stopped. These alerts keep your appliances in good condition, they save you money regarding energy efficiency and help you control your devices when away from home, among other benefits. Encrypting these appliances on the blockchain protects your ownership and enables transferability. Smart City Blockchain
94 Supply chain using VR implementation Delivery drivers are tasked with ensuring that products make it to stores, offices, homes, and distribution centres in a timely manner without damage done to products. Current processes include using navigation systems and manually checking cargo. With temperature-controlled loads, things are even more complex. These solutions are often time consuming and distracting. The latter increases the chance for accidents. VR can be used to significantly improve this part of the supply chain process. VR can be used to superimpose important information directly onto the windshield. Without glancing at a handheld device, drivers can see alternate routes, blocked roads and traffic snags. Even information about the load itself can be seen without the need to stop, climb into the back of the truck, and see what’s going on. Propose a VR model which can help the drivers and can accelerate the delivery process. Logistics and Transportation AR/VR
95 Modelling the warehouse using AR Warehouses are becoming more than just huge storage rooms. They are multipurpose operational hubs for enterprises where products can be stored, assembled, labelled, packaged or sorted for further deployment and delivery. The need for warehouses to act as hubs for these activities requires nearly instantaneous rearrangements to fit into new roles. With AR, warehouses can be easily remodelled digitally to see what needs to be changed to accommodate requirements and how it will affect other components in the process. The obvious benefit is that you do not have to physically rearrange the entire warehouse to try out new alignments. Modifications can be easily overlaid on digital canvases that cover the real environment and provide decision makers with a first-hand view of how measures need to be calculated for the realignment. Construct an AR model which can be used in the modelling of the warehouse. Logistics and Transportation AR/VR
96 AI to harness data Use AI to create model to harness data. One of the most underutilized assets in the industry is the high volume of data that supply chains generate on a daily basis. This data is both structured and unstructured, and AI will enable logistics companies to exploit it. The clearest use case for AI in supply chains is harnessing all the data from the supply chain, analysing it, identifying patterns and providing insight to every link of the supply chain. Using artificial intelligence create a model to harness data. Logistics and Transportation ML/AI
97 Automate and Accelerate the brokerage using AI Automate and accelerate the brokerage using AI. The major issue with customs declarations today is that they rely on highly complex manual processes that require skillful knowledge of regulations, industries, and customers. It is also an effort-intensive process; information must be cross-referenced and validated from customer and carrier documents, regulatory bodies, and government-specific forms. All of this necessitates close attention to detail yet, of course, it is difficult for human workers to maintain consistent levels of concentration throughout the workday. This can result in costly mistakes; companies may incur non-compliance fees and demurrage charges for goods held in customs too long. AI can automate and accelerate the brokerage process while improving the margin of error and generating more cost savings. Logistics and Transportation ML/AI
98 ML to improvise methods of tracking Use ML to improve the methods of tracking One of the most challenging aspects of managing a supply chain is predicting the future demands for production. Existing techniques range from baseline statistical analysis techniques including moving averages to advanced simulation modelling. Machine learning is proving to be very effective at considering factors existing methods have no way of tracking or quantifying over time. Logistics and Transportation ML/AI
99 ML to provide end to end visibility across supply chains Use ML to provide end-to-end visibility across many supply chains for the first time What’s needed in many supply chains today is an entirely new operating platform or architecture predicated on real-time data, enriched with patterns and insights not visible with previous analytics tools in the past. Machine learning is an essential element in future supply chain platforms that will revolutionize every aspect of supply chain management. Combining machine learning with advanced analytics, IoT sensors, and real-time monitoring is providing end-to-end visibility across many supply chains for the first time. Logistics and Transportation ML/AI
100 Memorising systems using AR Memorising system using AR. Memorizing incredibly difficult names and features of specimen placed in a laboratory and retaining them for longer run is the major problem that students face in labs. Every time, students cannot accompany specimen and an educator who could help them. In labs, knowledge is imparted once and then, student thumb through boring books that no longer excites them. This way stimulating students to learn terminology is the most arduous task to accomplish. Here, augmented reality would be panacea. Scanning text books, images or any figurine with smartphone, live 3D specimen appears showcasing specimen name, characteristics or any relevant information associated with it. Education AR/VR
101 Lab procedures using AR Methods of education such as dissection of frogs and other such inseects was recently removed from the curriculum because it was unethical. Therefore we can find a way of teaching such concepts without harming any sector by using augmented reality to project the actual look of the concepts virtually. Also it can be used to virtually simulate chemisty labs and wil help in reducing the risk of chemical accidents as well the maintainance cost of a laboratory. Education AR/VR
102 AR/VR tech for providing virtual education as a substitute to present learning approach. • Several studies have shown that people who learn and train in VR retain the information much more deeply and for longer periods of time than those who simply use books and videos and other traditional methods.In one case, students learning construction management were broken into two groups, one using VR and the other traditional methods, and the VR group scored higher on tests about the information both immediately after the lesson and a month after. In another case, medical students using VR did much better on live patients than those who learned via traditional methods. VR allows students to run the lesson as many times as needed, and they cannot be distracted while in the headset.Consider creating a platform with embedded with AR/VR tech for providing virtual education as a substitute to present learning approach. Education AR/VR
103 AI and machine learning to automatically segregate the questions The current issue teachers face when they upload teaching material online is their student database increases by a huge margin. Hence answering/ analysing the doubts for such students becomes a big issue. Using AI and machine learning to automatically segregate the questions asked by students on a particular eduactional video into segments by first analysing the repeatitive questions and then grouping them. (cross platform usage).Also you can automatically design the software to answr some repeated questions by analysing the previously answered doubts. Education AR/VR
104 AI and handwriting recognition software A lot of videos are circulated where the teacher uses a black board or a sheet of paper to write on while explaining the concepts. All teachers cannot afford to use smart technology and hence resort to these methods. Taking notes / saving the crux points of the taught material becomes a tedious task in these situations.By using AI and handwriting recognition software, we can design a model which notes down the written material in the most effecient way possible whilst providing constant options or rearrangement/correction to the student while the video is being played. This can help teachers distribute such material too. Education ML/AI
105 Platform for students to connect to the latest news The current world trends and advancements is something that education institutes have to regularly keep a track of and it becomes extremely difficult to revise the topics so constantly. Therefore the students need to be aware of this gap and put in their extra efforts to adapt accordingly and progress.Using Deep Learning and other such tools, we can design an app in which the student needs to just enter the names of th subjects he/she is going through for the particular stage and the app should automatically connect with news apps/media/other important sources to give an overview of how things look in the present scenario. We can use rating systems to make the process even more efficient. Education ML/AI
106 Prevention of student suicides using AI Student suicides and depression is a big issue in the world currently because of increasing pressure from all aspects of this fast pace progressing society. Most of these cases although end up not being catered too properly because of factors like too many students in schools, working parents and so on.Since we cannot monitor the students activities throughout the day because of variety of ethical/moral reasons, we can still design a tool which monitors academic/school life data of the students and on recognizing specific patterns in certain aspects of the students life (such as constant isolation/ stressfull body language) using minimalistic sensors is able to notify the teachers/parents to look out for the particular student. This might end up showing errors at times but can be extremely useful in atleast shifting the attention on the teachers on certain cases which can be easily looked after at an early stage.(Deep learning/image processing) Education ML/AI
107 VR shopping Experience VR shopping experience To add a new level of intrigue to the online shopping experience, retailers can look to build virtual showrooms or virtual stores. These platforms offer customers a virtual experience which is just about as close to heading out to a physical store as you can get from the comfort of your own home. The core idea here is that consumers would get a far more immersive shopping experience than the online one they have now. In theory, they would put on a headset at home and immediately find themselves in the midst of a virtual superstore. Here they are free to browse the virtual products in an almost identical way to how they would if they were in a physical store. Create a model where E-Commerce websites are functioned using VR technology. E-Commerce AR/VR
108 Detection of Brain Activity using ARVR DETECTION OF BRAIN ACTIVITY TO DIFFERENT MARKETING TECHNIQUES AR/VR can be used to detect how a customer react to a particular marketing scheme including logos, articles, colors, etc. This can be done by tracking their brain activity using the VR headset. E-Commerce AR/VR
109 AR for E-Commerce AR FOR E-COMMERCE • AR will absolutely revolutionize the e-commerce industry and has actually already started doing so. The possibilities are endless, but one big change can be the shift to "virtual showrooms. Consumers at can try on different colors and styles of clothing in a virtual dressing room. And it only extends from there -- imagine actually being able to "see" furniture in your home before you make your purchase, or checking out a car and all its features, right from your phone.Consider the tech behind AR/VR to implement this applications in practice. E-Commerce AR/VR
110 ML to detect illegal transaction Use ML to detect illegal transaction • According to reports, airlines and travel industries suffer from eCommerce fraud the most. They lose billions of dollars every year having to refund stolen money to customers. Payment fraud is one of the most popular types of scams in this industry that entails using a stolen credit card for booking flights or accommodation. Another popular type of fraud is a friendly fraud, when a customer pays for a purchase, and then claims that the card was stolen, demanding a chargeback. Customer behaviour analysis using profiling and machine learning technologies can help prevent and detect illegal transactions from happening. E-Commerce ML/AI
111 AI to try many item using short period of time Use AI to try many items in a short period of time • Instead of trying out clothes, you can use virtual mirrors to see what an item looks like on you. If you’re looking for the right outfit, you can use this technology to determine which item fits you best and what other piece of apparel or accessory goes well with that item, offering an unlimited number of clothing options. Develop an AI platforms that allow users to try out a lot of different items in a short period of time. E-Commerce ML/AI
112 Maufacturing using AR/VR Manufacturing using AR/VR Many manufacturing companies use PDF instruction manuals, printed out by customers. They are difficult to follow and need constant updating. From phones to planes, these products require thousands of parts to be assembled. Augmented reality and AI enable the display of video instructions, with detailed drawings for assembling. Customers can work while following instructions via VR glasses or using a mobile device. Manufacturing AR/VR
113 Virtual Crops Virtual Crop VR will help farmers visualize future crop patterns by showing virtual crop growth based on weather patterns, practices etc. This, in turn, aids researchers in data collection, testing, and observance of the crop performances under any unwelcome environmental changes. Thus farmers are well prepared to face any challenge thrown at them. b) A lot of farmers in India still rely on primitive equipment and methods to cultivate their crops even when methods exist which can benefit them financially as well as in crop yield. The problem still exists as most of the farmers are uneducated and have a rigid mindset when it comes to adapting with modern technology. Interactive workshops etc have had a very small impact uptil now. But through the use of VR/AR , we can provide the farmers with a platform to experience real time visuals and tours of the existing farms which adopt these methods and provide analytical knoiwledge on those methods/equipement. This kind of an approach will be able to convince them in a far more efficient manner and can make them adopt these practices without doubting them. Agriculture AR/VR
114 Vetenary Diagnostics using VR Veterinary Diagnostic- This concept is applicable in the field of animal agriculture. Often the lack of local veterans ends up taking the life of the animal during the emergency. But the VR handset eliminates the distance issue by allowing the veterinary doctor to diagnose and instructs the person in the barn even from a distance. This is possible with a combination of a Microsoft Hololens worn by the person in the barn and a VR headset worn by the vet instructing the man from afar. Agriculture AR/VR
115 Train farmers using VR Farmers use many special tools for working in fields. But it is not a secret that some types of equipment are very dangerous and farmers should be aware of how to use them properly in order not to harm themselves. What is the option? Sure, virtual reality.Using VR helmet, for example, and proprietary software, farmers will be able to learn how one or another tool is functioning, what parts it consists of, and test it in the virtual world without any potential hazards.Thus, a specialist will be able to immerse into the process for the detailed exploration. Agriculture AR/VR
116 VR app to display weather Everybody knows that both too much rain and too much sun are equally harmful to crops. And weather forecast helps farmers understand what weather should they expect for in the nearest days. In this case, virtual reality can simulate various weather conditions and display their consequences on crops. VR app design for weather forecast shall be elaborated properly. By the way, VR devices should have a Wi-FI connection to use satellite technology for up-to-date readings. Agriculture AR/VR
117 Rearing using AR/VR Rearing livestock is an extremely tedious process as it deals with the maintainance of variety of animals and their physical/emotional wellbeing needs to be taken care of. VR/AR can help immensely in this field since we can firstly help farmers understand the ideal conditions of rearing livestock using full 3d developed enivironments in VR/AR and also directly help the livestock by using AR in such a way that they get tricked into thinking that they are in that ideal environment. Agriculture AR/VR
118 Yield estimation model Yield estimation modelling at village or farm level • The success of implementation of Pradhan Mantri Fasal Bima Yojana depends upon accurate yield estimates at village/farm level. However, crop yield estimation is a very complex activity, as yield is influenced by many factors, such as crop genotype, soil, weather, management practice and various biotic and abiotic stresses. • In this regard, the challenge seeks to develop a web based spatial decision support system which takes data from high resolution satellite, UAV, satellite based agro-meteorological parameters, sensor networks giving information, etc. to provide estimates of yield at farm level. The solution should be evaluated for 2-3 different types of crops taking a block/tehsil as the minimum implementation unit. The solution should be user friendly, upgradable and expandable to other geographical area and other crops. Agriculture ML/AI
119 Crop Improvement using ML CROP IMPROVEMENT(ML & AGRICULTURE) • Plant breeders are constantly searching for a specific trait. They look for qualities to help a crop more efficiently use water, nutrients, adapt to climate change, or resist disease. For a plant to inherit a beneficial trait, researchers must find the right sequence of genes. • Considering the proper solution for this problem using the tech behind machine learning for elegant data insights and coming up with better solutions for the plant breeders. Agriculture ML/AI
120 Early Identification using ML EARLY IDENTIFICATION(ML & AGRICULTURE) • When tracking any disease, early and accurate identification is essential. The traditional method of identifying plant disease is done by visual examination. This process is plagued with inefficiencies and prone to human error. • Using machine learning sought a better solution to this problem, accompanied by the identification of the problem and its best possible solutions. Agriculture ML/AI
121 Weather prediction for farmers WEATHER PREDICTION FOR FARMERS(ML & AGRICULTURE) • Farmers in many parts of India are largely dependent on timely rainfall for harvest and subsequent profits. Uncertainty surrounding this phenomenon has also haunted them since the beginning of civilization. • Over time however, this uncertainty had reduced significantly as farmers back in the day could almost accurately plant crops based on previous experience with weather conditions. Over time however, this uncertainty had reduced significantly as farmers back in the day could almost accurately plant crops based on previous experience with weather conditions. This wisdom has been passed on from one generation of farmers to the other. • Consider the huge amount of data available in this sector and the tech behind machine learning, which could assist farmers in much better way Agriculture ML/AI
122 Drone solutions for farmers Using equipments/tractors on enormously large fields is a very tedious task and requires a lot of care and precaution. Mistakes made on analysing the structure of the whole field ends up in a lot of crops getting spoilt and causes a lot of harm to the farmers. A solution through drones already exists in the market as of now but in india, since such equipment isnt always an option due to many reasons such as expensive material, rain,winds etc. Therefore through proper placements of sensors and imageprocessing, device a way to smartly analyse the whole layout of the farm and give the required step by step directions to the farmers through an app using its gps. Agriculture IoT
123 Improving Agro Yield IMPROVING AGRO YIELD(Agriculture & Data analytics) • In agriculture sector where farmers and agribusinesses have to make innumerable decisions every day and intricate complexities involves the various factors influencing them. An essential issue for agricultural planning intention is the accurate yield estimation for the numerous crops involved in the planning. • Agriculture has been an obvious target for big data. Environmental conditions, variability in soil, input levels, combinations and commodity prices have made it all the more relevant for farmers to use information and get help to make critical farming decisions. • Consider efficient data analytics with these features to tackle the problem of farmers and give them more insights so that they could generate better yields Agriculture Data Analytics
124 YIeld estimation modelling Yield estimation modelling at village or farm level • The success of implementation of Pradhan Mantri Fasal Bima Yojana depends upon accurate yield estimates at village/farm level. However, crop yield estimation is a very complex activity, as yield is influenced by many factors, such as crop genotype, soil, weather, management practice and various biotic and abiotic stresses. • In this regard, the challenge seeks to develop a web based spatial decision support system which takes data from high resolution satellite, UAV, satellite based agro-meteorological parameters, sensor networks giving information, etc. to provide estimates of yield at farm level. The solution should be evaluated for 2-3 different types of crops taking a block/tehsil as the minimum implementation unit. The solution should be user friendly, upgradable and expandable to other geographical area and other crops. Agriculture Data Analytics
125 Nusery Farming using Automation NURSERY FARMING(Agriculture & Automation) • Nurseries are where seeds are grown into young plants, which are later planted outside. Nursery plants are often sold direct to consumers and landscape gardeners, but they are also the start of the food journey for some crops. • Since nursery are the start of a food journey, consider providing automation solutions for seeding, potting and warehousing living plants in greenhouses. Agriculture Robotics and automation
126 Food Safety using Blockchains FOOD SAFETY (Agriculture & Blockchain) • Consumers have grown suspicious of the food they are consuming. Food fraud costs the global food industry an estimated USD 30-40 billion annually. Food allergies and food-related illness are much more common now than 25 years ago and consumers are beginning to demand the information related to the food they are consuming. • Consider this situation and the tech behind blockchain, how we could this problem could be tackled especially for big food chains for ensuring accountability, traceability and quality of the food Agriculture Blockchain
127 Automatic Handwriting Generation a) Automatic Handwriting Generation o This is a task where given a corpus of handwriting examples, generate new handwriting for a given word or phrase. o The handwriting is provided as a sequence of coordinates used by a pen when the handwriting samples were created. From this corpus, the relationship between the pen movement and the letters is learned and new examples can be generated ad hoc. o This application of neural network is in progress with focus made on the accuracy to which this application can be dealt and incus high opportunity if carried forward to the customer base efficiently Retail ML/AI
128 Automatic Image Caption Generation Automatic Image Caption Generation o Automatic image captioning is the task where given an image the system must generate a caption that describes the contents of the image o In 2014, there were an explosion of deep learning algorithms achieving very impressive results on this problem, leveraging the work from top models for object classification and object detection in photographs. o These applications can incur a total new dimension for processing Retail ML/AI
129 Image-aware social listening Image-aware social listening(AI) o Brands chiefly monitor social media for mention of their products and services. But text forms only a part of what social media users post online - images and video are arguably just as important. o AI based platforms can be built providing social listening that can recognise the use of brand logos, helping community managers find good and bad feedback. Retail ML/AI
130 Drive better sales using ML in retail Transform the health of every shelf, in every store o The beauty and simplicity of Computer Vision is its ability to turn actual images into actionable insights in order to help brands and retailers focus on fundamentals in the store. By “digitizing the shelf”, companies now get real-time situational awareness about what’s happening on the shelf. o The directives range from the obvious (such as: “go to the back room and get a box of product to fill an empty space”) to the more sublime, such as instructions to reduce the number of facings (how many products of the same type that are sitting side by side) of a competitor and increase your own facings by that same amount. o Non-mobile users get role-based insights on a huge array of retail metrics that tell them exactly what’s happening on shelf and what to do to ensure the best shopping experience and drive better sales. Retail ML/AI
131 Machine Learning and Retail to provide better services Machine Learning and Retail Machine learning in retail is more than just a latest trend, retailers are implementing big data technologies like Hadoop and Spark to build big data solutions and quickly realizing the fact that it’s only the start. They need a solution which can analyze the data in real-time and provide valuable insights that can translate into tangible outcomes like repeat purchasing. Machine learning algorithms process this data. Retail ML/AI
132 Retail model on blockchain Blockchain for the retail companies to make a retail model. Blockchain’s distributed ledger technology is ideally suited to registering records of any kind in a secure and unalterable manner. Major rental companies usually can’t keep a proper data or the data gets isolated because of so many copies created. This can be solved using blockchains in which it will be able to store customer data, fully encrypted and shareable on a permissioned basis with relevant parties. Create a model using blockchains where to help the rental companies keep a proper record. Retail Blockchain
133 Energy production forecast using Machine Learning Energy Production forecast using Machine Learning With a growing installed capacity of renewable energy plants comes a growing number of remote monitoring solutions to track the performance of these plants. Enormous amounts of data are being generated by these renewable energy plants and it is becoming ever important to create valuable insights from this data. Predictive analytics when used deftly on renewable energy power plants can provide accurate energy production forecasts. It also predicts the machine breakdowns or glitches thereby optimizing overall operational efficiencies. The analytics checks for the correlation of various parameters like irradiation, wind speed, temperature, humidity, cloud cover, transformer status etc. and learns their cause and effect relationship. Using Big-Data analysis and Machine Learning propose a proper predictive analytics model which can forecast accurate energy production Renewable Energy ML/AI
134 Solar Management using Machine Learning Solar management using Machine Learning The rapid influx of large-scale wind and solar power plants has resulted in higher energy production. However, maintaining the power plants spread across a vast terrain is fast becoming a tough balancing act. A massive solar power plant, for example, consists of hundreds (or even thousands) of solar panels, different types of sensitive equipment, sensors, installers, inverters, and a complex web of wires. As a result, ground level operation and maintenance become increasingly difficult, affecting the daily energy output of the plant. With the help of big data analytics, however, companies can streamline their operations and management processes to a great extent. Construct a solar management program based on big data and machine learning that collects ground-level irradiance (sunlight intensity) data accurately which further eliminates the need for expensive on-site sensors. Renewable Energy ML/AI
135 Energy Benefitting Mangagement system Using AI construct an assistant benefiting energy management. When a household appliance is turned on, the algorithms driving the AI assistant recognize patterns and can automate a running tally of the energy costs that the item is generating. Provide us with a model which supplies energy data on home appliances and itemizes energy costs on a consistent basis. Users are reportedly able to see a record of how each appliance in their home uses energy and monitor and regulate their energy expenses before bills are due. Construct an AI-powered home assistant which reportedly uses its technology to assist clients with energy management in their homes. Renewable Energy ML/AI
136 Energy Theft using ML Avoid energy theft using AI/ML. Energy Theft is an international problem. Millions of pounds (industry estimates between pound 100-400m during 2011/12) are stolen from utilities annually. These costs have to be passed to customers in the form of higher electricity charges. AI can be used to detect usage patterns, payment history, and other customer data that may signal irregular behaviour. Using AI/ML create a security model which can detect the unusual activities in the normal usage pattern. Renewable Energy ML/AI
137 Carbon Assets using Blockchains Blockchain Model to track the carbon assets. As a heavily industrialised nation, India’s environmental footprint is substantial and it gets tough to track the carbon assets in the country which leads to an unmeasurable system in the energy consumption practice. So as to create a measurable and auditable system for tracking emissions, and facilitates a tradable market for companies seeking to offset their energy consumption whilst incentivizing greener industrial practises prepare a model on blockchains to track the carbon assets in a country so as to have an incorruptible and a non hackable system. Renewable Energy Blockchain
138 Travel Recommendation using ML Use ML to build a travel recommendation engine Airlines and airports are starting to mimic mega retail outlets, selling everything from seats to blankets and hotel rooms. Machine Learning is fast rising as the hidden persuader to assist in the sales. Using big data and machine learning, airlines are able to build recommendation engines that help personalize offers around products from their inventory and partner catalogues. Tourism ML/AI
139 Calamity Disruption using ML Use ML to predict calamity disruption. Mostly applied to business and corporate travel, disruption management is always a time-sensitive task, requiring instant response. While the chances to get impacted by a storm or a volcano eruption are very small, the risk of a travel disruption is still quite high: there are thousands of delays and several hundreds of canceled flights every day. The opportunity for data science here lies in predicting travel disruptions based on available information about weather, current delays, and other airport service data. Thus, an algorithm trained to monitor this data can send out timely notifications, alerting the users and their travel managers about upcoming disruptions, and automatically put a contingency plan into action. Use machine learning to predict any calamity disruption using data analysis. Tourism ML/AI
140 Travel data security using Blockchains Travel data security using Blockchains Travel requires repeated scrutiny of travel documents by different sets of people. There are complex embarkation and disembarkation processes (especially for cruise liners). Facial recognition technology promises to bring an end to these tiresome paper-bound processes. With facial recognition, travellers can seamlessly move through airports, immigration, customs and board aircrafts without the need for having travel documents scrutinized at each step. When combined with blockchain, it becomes easier for customers to visit restaurants, duty free stores or access entertainment with a simple facial scan. The blockchain technology ensures that reliable and trustworthy traveller data is made available to complete the transactions. Use blockchains to create platform for travellers to store their travel data. Tourism Blockchain
141 Helping Chatbot AI powered during natural calamity Helping Chatbot AI-powered chatbots can help residents affected by a calamity. The chatbot can interact with the victim, or other citizens in the vicinity via popular social media channels and ask them to upload information such as location, a photo, and some description. The AI can then validate and check this information from other sources and pass on the relevant details to the disaster relief committee. This type of information can assist them with assessing damage in real time and help prioritize response efforts. Using artificial intelligence create a chatbot that can help the people converse and seek help using the chatbot. Disaster Management ML/AI
142 Quanlity Control in Automative industry QUALITY CONTROL IN AUTOMOBILE INDUSTRY USING AI Quality control, such as inspecting painted car bodies, is performed by human workers. This method is prone to errors and is relatively slow. But even automated methods can break down due to numerous variables in the test environment. If the lighting is not perfect or the product is mounted just a bit off-center for inspection, the current method can yield false positives. By contrast, AI-enabled visual QC can filter out these issues to focus on defects only. The AI system constantly learns to improve its analysis based on feedback. Using these methods, AI-powered hardware can visually inspect and provide superior QC on various products such as machined parts, painted car bodies, textured metal surfaces and more. Productivity increases in visual quality inspection of up to 50 percent are possible. Automobile Industry ML/AI
143 Enabling preventive/predictive maintainance using Big Data ENABLING PREVENTIVE/PREDICTIVE MAINTENANCE USING ML/BIG DATA Machine learning algorithms can aid in effective planning and execution of predictive maintenance. Predictive maintenance employs monitoring and prediction modelling for determining the condition of the machine and for predicting what is likely to fail and when it is going to happen. Machine learning systems can help in adjusting maintenance interval, where the same maintenance is conducted but shifted backwards or forward in time or mileage. Thus, machine learning systems can enhance predictive maintenance capabilities and help in accurate prediction of future failures instead of diagnosing already existing ones. Automobile Industry ML/AI
144 Trade Expensive Art Works Create a model to trade expensive art works. Similar to the diamond trade, the art industry is dependant on the provenance and authenticity of artworks. While blockchain cannot authenticate a painting to determine whether it is an original or forgery, it can be used to prove the piece’s previous owners. As the painting in the world are preserved for their authenticity and known for their high prices. Create a model on which all these expensive art works and paintings can be traded on blockchains. Smart City Blockchain
145 Smart CCTV camera The general CCTV cameras can be of great help to the security forces if they are made smart enough to highlight suspicious activities. Identification of sleeper cells, potential terrorist group through cognitive computing based upon human behavior management. Data Analytics Security Data Analytics
146 Indentification Management System using Blockchains Identity management using Blockchain When identity management is moved to blockchain technology, users are able to choose how to identify themselves and who will be informed. They still need to register their identity on the blockchain somehow, but after that, they can re-use that identification for other services. Create a blockchain network platform for a safer and a secure identity management. Security Blockchain
147 Real Time Verification Report Use ML/AI to have a better real time verification report. Social media channels are a major source of news in present times. Some of the most actionable information, during a disaster, comes from social media users. Real-time images and comments from Facebook, Twitter, Instagram, and YouTube can be analyzed and validated by AI to filter real information from fake ones. These vital stats can help on-the-ground aid workers to reach the point of crisis sooner and direct their efforts to the needy. This data can also help rescue workers in reducing the time needed to find victims. In addition, AI and predictive analytics software can analyze digital content from Twitter, Facebook, and Youtube to provide early warnings, ground-level location data, and real-time report verification. In fact, AI could also be used to view the unstructured data and background of pictures and videos posted to social channels and compare them to find missing people. Create an AI powered analytical software so as to provide a better glance of the correct facts and a real time report verification Security ML/AI
148 Decentralized Journalism Marketplace Decentralized Journalism Marketplace Permanence is now a hot topic in the journalism trade. One wrong move and years of hard work and research could go down the drain. Blockchain is one smart solution to the problem. Create a decentralized journalism marketplace, coupled with the ability to permanently archive content, which will remain accessible at any time in perpetuity. Journalism Blockchain
149 Music implementation on Blockchain Blockchains and music Key problems in the music industry include ownership rights, royalty distribution, and transparency. The digital music industry focuses on monetizing productions, while ownership rights are often overlooked. The blockchain and smart contracts technology can circuit this problem by creating a comprehensive and accurate decentralized database of music rights. At the same time, the ledger and provide transparent transmission of artist royalties and real time distributions to all involved with the labels. Players would be paid with digital currency according to the specified terms of the contract. Create a platform on blockchains where music is traded on blockchains which further preserves the ownership rights. Music Blockchain
150 Food Supply Chain on Blockchains Food supply chains in most developing nations are inefficient due to information asymmetry. This directly results in low farmer income as farmers do not receive their due share, even though they are the most important part of the chain (the food producers). With blockchain, the food supply chain gets simplified as the data management across a complex network that includes farmers, brokers, distributors, processors, retailers, regulators, and consumers gets simplified and transparent. Improved data sharing can also help reduce the USD 1 trillion problems of food waste. Farmers and all members of the supply chain can access all the information throughout the chain. This will make the entire supply chain more democratic and efficient resulting in lesser food wastage and higher remuneration being paid to the stakeholder adding the greater amount of value. Agriculture Blockchain
151 Food Supply Chain on Blockchains Food supply chains in most developing nations are inefficient due to information asymmetry. This directly results in low farmer income as farmers do not receive their due share, even though they are the most important part of the chain (the food producers). With blockchain, the food supply chain gets simplified as the data management across a complex network that includes farmers, brokers, distributors, processors, retailers, regulators, and consumers gets simplified and transparent. Improved data sharing can also help reduce the USD 1 trillion problems of food waste. Farmers and all members of the supply chain can access all the information throughout the chain. This will make the entire supply chain more democratic and efficient resulting in lesser food wastage and higher remuneration being paid to the stakeholder adding the greater amount of value. Agriculture Blockchain
152 Delivery of Subsidies using blockchains Across the globe, farm sector is heavily dependent on government subsidies. For example in India 2017-18 budget, USD 4.9 billion (INR 32,000 Cr) were allocated for agri-related subsidies to farmers. How much of this amount actually reaches the farmers is always in question. However, with blockchain, the distribution and delivery of subsidies can become more transparent resulting in the targeted disbursement of subsidies plugging pilferages in the existing system. Agriculture Blockchain
153 Local Farming on blockchains The benefit to buying local food is always described as “you know exactly where your food comes from and who grew it. You know it’s fresh”. What if we could make this happen at scale? Meaning, no matter where you bought your food, you knew not only where it came from, but when it was harvested and processed, and even who produced it. This value can be added to online transactions in today's world easily using blockchain technology as the respective nodes from where one gets this product will be made out of all these required details. Agriculture Blockchain
154 Protect Infomation in a data driven healthcare system Protect information in a data-driven healthcare system Adopt token-based access control. Data encryption is a great step, but you still need to control who and what can transmit and receive data. Instead of asking millions of devices to filter out topics they don’t subscribe to, have your network handle the bulk of this task. Within the publish/subscribe paradigm, token-based access control allows you to distribute tokens to devices and grant access to specific data channels. This gives you fine-grained control over the tokens that are created, the devices that receive those tokens, and the data that those tokens grant access to. Your network effectively becomes a traffic cop, controlling which devices can speak and listen to the network. Healthcare CyberSecurity
155 End to End Encryption in memo communicaion Use of cryptography algorithms to achieve end to end encryption for memo communication (Cyber Security) There have been instances where memos have been leaked in Indian defence sector which leads to lot of embarrassment for defence ministry. Software can be used to eliminate these incidences. Memos are shared between different departments and also to facilitate communication between ministry, different defence forces and supreme commander. Expected Outcome: The resultant software should be able to encrypt and decrypt popular file and image formats and also facilitate https communication of these files. Healthcare CyberSecurity
156 End to End Encryption in memo communicaion Use of cryptography algorithms to achieve end to end encryption for memo communication (Cyber Security) There have been instances where memos have been leaked in Indian defence sector which leads to lot of embarrassment for defence ministry. Software can be used to eliminate these incidences. Memos are shared between different departments and also to facilitate communication between ministry, different defence forces and supreme commander. Hardware 2 factor authentication must also be present. Expected Outcome: The resultant software should be able to encrypt and decrypt popular file and image formats and also facilitate https communication of these files. Healthcare CyberSecurity
157 Secure hardware based offiline Encryption Device for Graded Security Secure hardware based offline Encryption Device for Graded Security (Cyber Security) {defence India start up challenge} A dedicated secure hardware (FPGA/ASIC) based offline encryption device is for transacting classified data over Public/Open networks. The device is to undertake file/folder level encryption with data flies read off from USB media device and written to separate USB, media device. The hardware-based device is to encrypt, decrypt and handle common Windows/ Linux file system over USB on either end. Healthcare CyberSecurity
158 Build a platform that integrates the mobile social technology of today with the social and hierarchical structure of the military community Build a platform that integrates the mobile social technology of today with the social and hierarchical structure of the military community. (Cyber Security) It is a secure and comprehensive communications platform specifically designed to allow service members to connect directly with each other within the hierarchical structure of their command, as well as connect with their families and friends. By aligning family readiness, unit hierarchy, and the user’s social graph, The platform should act as a social platform that targets, engages and caters to the active, reserve, and veteran community. Defence CyberSecurity
159 Protecting Air Interface Security Vulnerabilities at LTE Protecting Air Interface Security Vulnerabilities of LTE System. (Cyber Security) Induction of LTE technology for mobile communications is critical for operational communications. However, commercial LTE technology has various security vulnerabilities, including air interface vulnerabilities, which can lead to Denial of Service (DoS) Attacks. There is a need to identify various security vulnerabilities in commercial LTE and evolve solutions for the same including customized Layer 1, Layer 2 and Layer 3 protocol stacks, randomization of Physical Random Access Channel (PRACH) occurrence in Paging Control Channel (PCCH) frames as well as customized LTE chipsets/external crypto attachment for proper red/black separation, trusted country specific encryption algorithm, Key and Random Challenge (RAN) generation and Key management facilities. Device an algorithm for end to end connection encryption in LTE networks for voice. Defence CyberSecurity
160 Better and Responsive healthcare using Cloud Computing Better and a responsive healthcare using Cloud Computing Collaboration is vital to the healthcare industry, which makes the cloud a perfect companion in the field. By allowing professionals to store and access data remotely, healthcare professionals around the world can gain access to patient data immediately and apply the necessary care without a delay. In addition to this, remote conferencing, up-to-the-second updates on healthcare developments and patient conditions, and more, is allowing doctors to save those precious life-saving minutes Healthcare Cloud Computing
161 Real Time Guidance Platform Create a real time guidance platform for doctors so as to provide with the services to people during disasters. When disaster strikes, getting the necessary professionals to the places they need to be or giving the present doctors the information they need is a difficult task. Being able to consult with one another, send requests for additional resources or man-power, or simply keeping each other updated on the status of a disaster victim’s condition can be the difference between a life lost or saved. An on-site doctor with very little experience in surgery can now have real-time guidance from an expert to perform a field surgery, for example, with all the present medical equipment transmitting real-time information from one source to the next to ensure the best work is done. Healthcare Cloud Computing
162 Improved Patient Care Services using Cloud Platform Improved Patient Care Services using Cloud Platform: Patients can benefit immensely, as different health services are moved from a physical environment to a digital environment. Through the Cloud, doctors and patients can initiate virtual sessions, which enable the use of enhanced patient care services. Users can share, view, and store their records in the Cloud, while doctors can archive and access them remotely as well. By placing documents in the Cloud, different healthcare centers can access patient data with the press of a button, without having to bother about endless paperwork and delayed treatment issues. Healthcare Cloud Computing
163 Freeing up Essential Resources using Cloud Platform Freeing up Essential Resources using Cloud Platform: The Cloud has been aligned to provide exceptional support in operational, administrative, and HR functions. It can ensure an outstanding quality of services when it comes to scheduling, referrals, sourcing files, inventory management, as well as perform many other types of behind the back actions. All this can be achieved at relatively low costs, which makes the process all the more efficient and lucrative for the end users. In other words, through the use of the Cloud, health institutes can expect better resource allocation, at a fraction of the cost. Healthcare Cloud Computing
164 Access to healthcare using Cloud Platform Access to healthcare using Cloud Platform in remote parts of the country: In remote parts of the country and for patients with busy schedules, accessing healthcare is a major issue. Telehealth or virtual care solutions are gaining popularity, with some states modifying laws to accelerate adoption and address this problem. Healthcare Cloud Computing
165 Medication adherence using Cloud Platform Medication adherence using Cloud Platform so as to keep a log of order refills: Patients not following the drug regimen prescribed by the doctor, results in avoidable re-admissions to the hospital costing the U.S. healthcare system $290 billion annually. Market for products that remind the patient when it is time to take the medicine, keep a log and automatically order refills is expanding at a rapid pace Healthcare Cloud Computing
166 Drug theft and counterfeiting using Cloud Platform Drug theft and counterfeiting using Cloud Platform so as to prevent drug theft: Theft, counterfeiting, selling expired medicine are some of the problems which can be controlled by monitoring the supply chain. Recently, government has passed the Drug Supply Chain Security Act (DSCSA) which will require all the stakeholders in the pharmaceutical supply chain to monitor and report status on drugs during transportation. This has opened up a market for solutions which monitor and log supply chain events in real-time and report suspicious events. Healthcare Cloud Computing
167 Resource inefficiency using Cloud Platform Resource inefficiency using Cloud Platform so as keep a measure on the available resources Escalating cost of healthcare is always a hot topic among policy makers and no real solution has been implanted to date. One of the major factors adding to the cost of healthcare is inefficiency of resources like medical staff, equipment and easy access to patient resource pool for clinical studies. With the use of artificial intelligence in the healthcare environment, a doctor’s bandwidth can be stretched since data can be augmented with smart machine-based analytics for doctor to evaluate. For clinical trials or scientific studies, a social network-based approach can be used to gain access to a patient pool. Healthcare Cloud Computing
168 Personal data privacy using Cloud Platform Personal data privacy using Cloud Platform so as to provide proper security solutions Each healthcare organization maintaining their own medical records is a nightmare for data security and compliance to Health Insurance Portability and Accountability Act (HIPAA). Not to mention that it adds significant cost for organizations to maintain their own IT infrastructure and be liable for all the data directly. Using cloud-based solutions provides access to latest security technologies and reduces individual liability. Healthcare Cloud Computing
169 Uniform medical records using Cloud Platform Uniform medical records using Cloud Platform so as to provide patients with a Personal Medical Record Each hospital or care provider using their own Electronic Health Record (EHR) system is not in favor of the consumer. Not only does it add cost to the healthcare system since each hospital has to maintain a different system but it also makes it more resistive for a patient to change care providers. In other words the patient gets tied to a certain care provider and may not always get the optimum care which would be the case if they had easy access to their EHR in a standard format. Industry wide effort is going on to have one EHR or Personal Medical Record (PMR) tied to the patient so that they get the best care agnostic of the provider network Healthcare Cloud Computing
170 Manufacturers are empowered to improve efficiency and avoid unnecessary costs. Insights into overall equipment effectiveness (OEE) get stronger using Cloud Computing Knowing how the OEE levels by machine and how their relative levels of health impact workflows and team productivity are key to getting more done in less time on the shop floor. Cloud platforms enable a system of record that includes OEE to the machinery and tool level, providing insights into which areas are performing well and which need to improve. Using cloud-based platforms to capture, track and analyze the health of every machine and tool on the shop floor, manufacturers are empowered to improve efficiency and avoid unnecessary costs. Manufacturing Cloud Computing
171 Integrating teams’ functions increases new product introduction success using cloud computing Integrating teams’ functions increases new product introduction success using cloud computing. Instead of rushing new products into an initial manufacturing run, manufacturers who excel at product quality are willing to sacrifice a few weeks to get the product right. Readiness reviews and the highest priority problems or bugs are fixed, and the schedule gets shifted to support higher quality. Cloud-based applications are integrating product development, engineering, supply chain management, and production planning teams on a single platform and on a global scale to reach higher product quality levels. Manufacturing Cloud Computing
172 Perfect order performance is tracked across multiple production centers for the first time using cloud computing Perfect order performance is tracked across multiple production centers for the first time using cloud computing. Perfect order performance measures how effective a manufacturer is at delivering complete, accurate, damage-free orders to customers on time. The more complex the product lines and configuration options —including build-to-order, configure-to-order and engineer-to-order workflows — the more challenging it is to attain a high, perfect order level. Greater analytics and insights gained from real-time integration of cloud-based ERP solutions, which serve as the system of record, and monitoring help complex manufacturers attained higher perfect order levels over time. Manufacturing Cloud Computing
173 Stronger IT security and resistance to cyber attacks using cloud computing Stronger IT security and resistance to cyber attacks using cloud computing. To maximize operational security, defence agencies have historically built “siloed” systems, with different branches of the armed forces having completely separate IT resources. Cloud computing can strengthen overall security by reducing the risks of individual errors or weaknesses in each silo, while ensuring consistent security standards across the entire organisation. Defence Cloud Computing
174 Doing more at higher pace and lower cost using cloud computing Doing more at higher pace and lower cost using cloud computing. Defence agencies are already realising significant speed, cost and agility benefits from cloud technologies, including “thin provisioning” where storage capacity is constantly realigned with current needs. The cloud can also free up skilled IT staff to perform higher-value activities, by helping to automate complex yet repetitive tasks. Defence Cloud Computing
175 More secure, efficient logistics and supply chains using Cloud Computing More secure, efficient logistics and supply chains using Cloud Computing. Defence agencies manage complex, mission-critical supply chains. When combined with mobility, analytics and advanced sensor technologies, cloud can vastly improve the efficiency and security of these processes, giving unprecedented control and visibility into the supply chain and reducing the risk of counterfeit goods and equipment. Defence Cloud Computing
176 Enhanced situational awareness using Cloud Computing. Enhanced situational awareness using Cloud Computing. In the future, a blend of cloud, mobility and analytics will take situational awareness to a new level. Data will be collected, shared and accessed from a vast array of sources and devices, and fed into portable cloud ‘containers’ to support better-informed in-theatre decision making. Ultimately, this data can be used to help improve situational awareness for defence agencies, both at HQ and at satellite locations. Defence Cloud Computing
177 Integrated global Identity and Access Management (I&AM) using Cloud Computing Integrated global Identity and Access Management (I&AM) using Cloud Computing. Adding advanced biometrics to the already powerful combination of cloud, mobility and analytics will enable defence agencies to automate and integrate identity and access management globally. All defence forces are taking steps to ensure a federated identity and access management capability to enable trusted access to, and secure sharing of, information by personnel and partners across operational, support and business areas. The ability to verify someone’s identity in real-time from anywhere in the world will enhance speed and security in all forces and geographies. Defence Cloud Computing
178 No expensive software required using Cloud Computing No expensive software required using Cloud Computing. One of the biggest advantages of cloud-based computing is the software-as-a-service (SaaS) model. Many software programs are now available either free or on a low-cost subscription basis, which substantially lowers the cost of essential applications for students. For example, instead of purchasing a single Microsoft Office student license for $140, students and their families can purchase a cloud-based subscription for five computers and five mobile devices for only $10 per month. Even better, they can use Google Docs for free. Institutions can also save big by using SaaS applications. Education Cloud Computing
179 Improved Channel Operations using Cloud Computing Improved Channel Operations using Cloud Computing. Retailers who have not moved to the cloud are still running on outdated systems and operating models that are out of step with current market trends. Cloud-based solutions can simplify the systems and deliver more personalized customer experience. Retail as a Service (RaaS) can integrate the different verticals like inventory and order processing thus improving your restocking capabilities. The best advantage of moving to the cloud is the flexibility pay as you use. In short, lower costs and higher efficiency. Logistics and Transportation Cloud Computing
180 Higher Supply Chain Visibility using Cloud Computing Higher Supply Chain Visibility using Cloud Computing. With cloud computing, retailers can have an enterprise-wide supply chain visibility. With the cloud, retailers can have supply chain systems capable of adequately handling their business without stock-outs, expedited deliveries, or high inventories. Cloud also helps to capture real-time status of consignments, digitized documents from suppliers, carriers, logistics providers, brokers etc. Logistics and Transportation Cloud Computing
181 Better Merchandising Decisions using Cloud Computing Better Merchandising Decisions using Cloud Computing. Cloud computing and Big Data can provide meaningful insights about customer preferences that can help in making merchandising decisions. Retailers can analyze customer buying trends and can decide about what to stock, how to stock and how to promote. It also lowers the time to market for retail goods. Logistics and Transportation Cloud Computing
182 Risk Managment using ML Risk Management • While providing a loan to any client banks go through a process of risk assessment to estimate the creditworthiness of a prospect. Traditional systems relied on historical data like transaction history, credit history and income growth over years to understand the risk associated with every loan extended. This resulted in inconsistent estimates as historical data is not always an accurate standard to predict future behavior. • The field of AI i.e. machine learning can help to the rescue. Machine learning allows analysis of real-time data of recent transactions, market conditions and even latest news to identify potential risks in offering credit. With the help of predictive analytics, an ML algorithm can analyze petabytes of data to understand micro activities and assess the behavior of parties to identify a possible fraud. This is something impossible for human investors to perform manually. Fintech ML/AI
183 Marketting using ML Marketing and Support: With the ability to analyze past behavior to optimize the present future campaign, machine learning is an influential tech for marketers. By analyzing inputs from various data sources like behavior analytics from mobile and website, recent transactions, response to ad campaigns etc. marketers are able to craft targeted campaigns. They can also map the entire consumer journey from first interaction to purchase using clever attribution models. The modern customer’s journey goes way beyond the initial account set up especially in banks. This makes it important for banks to provide best in class customer support. Unfortunately, traditional CRMs and ticket management system fail to solve unique problems. Machine learning algorithms can learn from their past actions and hence improve the quality of service thus, aiming for best possible customer experience. Fintech ML/AI
184 Marketting using AI Artificial intelligence allows the analysis of varying complicated market factors at the same time. Today there are many Hedge funds across that leverage high-end systems to deploy AI models which learn by taking input from distinct sources of financial markets and sentiments. This enables real-time decision making by eliminating the time gap between insights and data collection. While the strategy of investment remains different for each fund, the background technology of AI remains the same. Ultimately most of the high-frequency trades (HFTs) can soon be automated by identification of trading opportunities based on the inputs. Some popular hedge funds using AI include - Two Sigma, LLC, PDT Partners, DE Shaw, Man AHL, Citadel, Vatic Labs, Point72, Cubist etc. While having a high-level idea of technology seems to help, we need a lot more detailed insights when we go into actual implementation and work on the existing models to create more efficient algorithms Fintech ML/AI
185 Investment Predictions Computer Investment Predictions Computer aided trading services have been around for some time. They allow investors to have an order placed when a stock reaches a predetermined price, and to sell when that price drops below a certain limit. By automating functions, such platforms make trading easier for large and small investor, alike. While they can even make recommendations based on automated analysis of market trends, they have limitations. In recent years, hedge funds have increasingly moved away from traditional predictive analysis methods and have adopted machine learning algorithms for predicting fund trends. Using machine learning, fund managers hope to identify market changes earlier than is possible with traditional investment models. The potential of machine learning technology to disrupt the investment banking industry is being taken seriously by major institutions. JPMorgan, Bank of America, and Morgan Stanley are developing automated investment advisors, powered by machine learning technology. Wise fintech companies will likewise follow suit. Fintech ML/AI
186 Network Security Among the top considerations for any network administrator or data security professional is how to recognize suspicious patterns occurring across their networks. The challenge to identify such patterns lends itself perfectly to the capabilities of machine learning. The power of intelligent pattern analysis, combined with big data capabilities, certainly gives machine learning technology an edge over traditional, non-AI tools. One might go so far as to declare machine learning as the last hope of securing critical networks against professional and state-sponsored cyber attacks. Despite costly and increasingly complex IT security platforms, even big name organizations seem defenseless against modern cyber attacks. So far, hackers have breached the network security of such mammoths as the U.S. Department of Justice, the U.S. Democratic National Committee (DNC), the Internal Revenue Service, Snapchat, LinkedIn, and Oracle. Clearly, organizations need to rethink their approach to cyber security. Existing systems do not necessarily need to be abandoned, but the additional layer of wizardry which machine learning security can provide is the next step in the evolution of network security. Security ML/AI
187 Efficient Data Management For financial firms, data is the most important resource. Therefore, efficient data management is a key to business success. Today, there is a massive volume of financial data diversity in structure and volume: from social media activity and mobile interactions to market data and transaction details. Financial specialists often have to work with semi-structured or unstructured data and there is a big challenge to process it manually. However, it’s obvious for most companies that integrating machine learning techniques to managing process is simply a necessity to extract real intelligence from data. AI tools, in particular, natural language processing, data mining, and text analytics, help to transform data into information contributing in smarter data governance and better business solutions, and as a result - increased profitability. For instance, machine learning algorithms can analyze the influence of some specific financial trends and market developments by learning from customers financial historical data. Finally, these techniques can be used to generate automated reports. Fintech ML/AI
188 Customer Consultation Software Firms realize that one of the key steps to being competitive in today’s market is to raise engagement through high-quality, personalized relationships with their customers. The idea is to analyze digital client experience and modify it taking into account client’s interests and preferences. AI is making significant improvements in understanding human language and emotion, which brings customer personalization to a whole new level. Data engineers can also build models that study the consumers’ behavior and discover situations where customers needed financial advice. The combination of predictive analytic tools and advanced digital delivery options can help with this complicated task, guiding the customer to the best financial solution at the most opportune time and suggesting personalize offerings based on spending habits, social-demographic trends, location, and other preferences Fintech Data Analytics
189 Travel Chatbot Digital interactions that are conversational and voice-based assistants that are personal Today, everything a traveler needs to do is available on a website. Using a website, travelers can plan where they want to go, compare options, weigh budgets and make bookings and cancellations. Doing this involves reading copious amounts of descriptions, instructions, terms and conditions and user comments before arriving at decisions. The alternative is to provide conversational apps that reduce the amount of interaction required by factoring intent and context into the conversation. NLP (Natural Language Processing) and AI have the potential to add considerable weightage to all types of travel-related activities. NLP-based bots could, for example, help Chinese language travelers negotiate their way around a European airport with ease. Tourism ML/AI
190 Travel Planner Social media to uncover sentiment There can be scores of social media listening tools. Of interest to the travel industry is a subset specifically engineered for travel applications. These tools could decipher social sentiment and co-relate it to the traveler’s journey, whether before the actual travel, during travel or post travel. If a travel customer gets frustrated because of a delayed flight or by a hotel room that is less-than-perfect? If the customer makes a social media post expressing the frustration, these listening tools could analyse the customer’s intent and the context to automatically reach out with real time interventions that are most likely to deliver a positive impact. The interventions could range from providing additional information, helping the customer understand the situation to more options that can meet the customer’s requirements or offer him/her a discount on the next purchase. Tourism ML/AI
191 Machine Learning in tourism Airlines and airports are starting to mimic mega retail outlets Machine Learning in tourism Airlines and airports are starting to mimic mega retail outlets, selling everything from seats to blankets and hotel rooms. Machine Learning is fast rising as the hidden persuader to assist in the sales. Using big data and machine learning, airlines can able to build recommendation engines that help personalize offers around products from their inventory and partner catalogues. Applying machine learning in travel industry provides powerful messaging and product bundling capabilities based on context and traveler propensity. In addition, Machine Learning can use external data to proactively assist travelers in making quick decisions (such as a change in travel plans triggered by storm forecasts). Tourism ML/AI
192 Guided ride Before we decide on a specific to spend our holidays Guided ride Before we decide on a specific to spend our holidays, we probably would like to know as much about it as possible in order to choose the best attractions and prepare ourselves well for the trip. So far, we have been using guides for this or have been browsing the internet forums with such a purpose, however with new advancements in AR/VR it is possible to take a pre tour of the visiting destination, sought of getting a taste of the place. This can be included in the features provided by tourism companies to gain more customer base Tourism AR/VR
193 Advancements in Automobile using Cloud Computing Advancements in Automobile using Cloud Computing Auto sector has its typical requirements as distinguished from other manufacturing facilities. Auto companies needs revolve around large engineering simulations, analytics, data and dealers’ networks and these consolidated demands require very powerful infrastructure whose maintenance can prove to be a technical challenge even for the best. Cloud computing with its super servers can overcome these issues. Additional storage is given on demand and the time taken and implementation process to adapt the system to your requirements is also short and simple. Manufacturing Cloud Computing
194 Cabin Systems using Cloud Cabin Systems Cloud computing can enhance the performance of GPS and entertainment systems installed in the car. There is a lot of research going for making cars smart and perceptive to tackle varied road and traffic situation. Such controls and continuous information feed requires uninterrupted and on-demand readiness of systems which can be provided by cloud. Intelligent Transportation Systems (ITS) might be the key to achieve solutions that help in reducing these problems significantly. The connected vehicular networks stream is a rapidly growing field for research and development of various real-time applications. Logistics and Transportation Cloud Computing
195 Travel Verification using Blockchain Travel document verification using blockchain and facial recognition (Blockchain) Travel requires repeated scrutiny of travel documents by different sets of people. There are complex embarkation and disembarkation processes (especially for cruise liners). Facial recognition technology promises to bring an end to these tiresome paperbound processes. With facial recognition, travellers can seamlessly move through airports, immigration, customs and board aircrafts without the need for having travel documents scrutinized at each step. When combined with blockchain, it becomes easier for customers to visit restaurants, duty free stores or access entertainment with a simple facial scan. The blockchain technology ensures that reliable and trustworthy traveller data is made available to complete the transactions. Tourism Blockchain
196 Loyalty Programs using Blockchain Booking and buying air-tickets: loyalty programs (Blockchains) According to many experts, loyalty programs are not used by consumers in full now. Moreover, they are even disappointed in them. Of course, this does not mean that companies should abandon incentive and motivation systems – on the contrary, marketers need to reaffirm the values of their customers and revise the programs, in accordance with the result. Blockchain technology can be used as a loyal assistant, which will greatly simplify the process for all interested parties. This happens as follows. After buying tickets, the tourist is accrued with virtual points, and blockchain transform them into virtual currency, which can be used by all participants of this loyalty network. In other words, the tourist books tickets on the site of an airline. Having performed this operation, tourist receives loyalty points – crypto currency tokens. They can be spent at all participating companies of blockchain network, where the company is placed. Thus, it becomes possible to interact with several loyalty programs. Tourism Blockchain
197 Customer Identification using Blockchain Customer identification: fast and easy (Blockchains) Probably, many tourists will name the identification process at airports complex and tedious. Waiting in line, identification with a whole set of travel documents – passport, visa, boarding pass, etc. – repeatedly. This is also a problem for airports, because every year the amount of air passengers is getting bigger. If we apply blockchain technology, which undoubtedly will be approved by many companies soon, the identification process will become much easier. The passenger needs only to register his passport, upload his selfie to the special application for the ID card, and come to the check-in place for the flight. The machine only checks all the data and photo – and the passenger is registered. Further, he does not need to present all documents: to pass immigration control or, for example, he can register luggage by opening the application in his smartphone. As you can see, the procedure is simplified for both, passengers who do not like to wait, and for the airport personnel whose main task is to serve the entire customers’ flow at the highest possible quality. Tourism Blockchain
198 Travel Gamification Travel gamification (Blockchains) Usually tourists, especially beginners, do not notice many interesting places that are worth visiting, or even simply do not know where to go and what to see. This business concept is designed to eliminate this significant drawback. Using the best loyalty programs, behavioural economics and game mechanics, it can quite help to interest and retain the client. This version of the use of blockchain technology in the sphere of tourism is a project is based on blockchain platform within the service for the hotel business . Your task is to link hotels, their guests, as well as local businesses, especially, the nearest to the hotel institutions into the whole ecosystem. Its participants will not only be aware of everything that happens at the location of their hotel, but they will also be able to distribute and exchange services, offers and events and get tokens for this as a motivating reward. Tokens holders, in their turn, will be able to receive Hotel chain services and participate in the ecosystem of mutual exchange, and implement tokens directly to the hotels and travel businesses in the chain. In addition, there are obvious benefits for representatives of the tourism business. Firstly, the blockchain platform will facilitate the automation of interaction with customers and increase the average check. Secondly, it is an opportunity to reduce advertising costs and motivate partners to share services. Finally, it is personal offers to different groups of users and socialization through motivated feedback. Tourism Blockchain
199 Tracking Luggage Tracking Luggage (Blockchains) Blockchain technology can be extremely valuable for tracking the movements of luggage, especially when dealing with international travel. In many cases, a customer’s luggage changes hands multiple times over the course of their journey. Using a decentralised database can make sharing of tracking data between companies a lot easier. Example- whenever a blockchain tagged bag moves away from intended route the blockchain ledger will be informed and course correction can take place. Tourism Blockchain
200 Travel advisor Machine learning, the (new) hidden persuader Airlines and airports are starting to mimic mega retail outlets, selling everything from seats to blankets and hotel rooms. Machine Learning is fast rising as the hidden persuader to assist in the sales. Using big data and machine learning, airlines are able to build recommendation engines that help personalize offers around products from their inventory and partner catalogues. Applying machine learning in travel industry provides powerful messaging and product bundling capabilities based on context and traveller propensity. In addition, Machine Learning can use external data to proactively assist travellers in making quick decisions (such as a change in travel plans triggered by storm forecasts). Mindtree’s framework ‘Connected Traveller’, for example, uses Machine Learning to understand the traveller. It integrates traveller data from various functional applications and creates a 360-degree view of behaviour and trends that ultimately helps drive higher conversion and improves loyalty. Tourism ML/AI
201 AI integrated tourism planning AI application to provide integrated tourism planning (ML/AI) Integrated Tourism can be defined as the kind of tourism, which is explicitly linked to the localities in which it takes place, and, in practical terms, has clear connections with local resources, activities, products, production and service industries, and a participatory local community. Model a domain ontology for Integrated Tourism and develop an Information Extraction tool for populating the ontology with data automatically retrieved from the Web. Also, define several Semantic Web Services on top of the ontology and apply a Machine Learning tool to better adapt the automated compo- sition of these services based on user demands. Tourism ML/AI
202 Dynamic pricing for Indian Railways Dynamic pricing for Indian Railways (AI/ML) While other railway networks have already applied dynamic pricing to their offerings, Indian Railway lags far behind. The railway data is freely available. Build a dynamic pricing for the national railways, which consider Indian factors such as winter fog, Indian festival and route congestion etc. to come up with fair prices for both parties. Tourism ML/AI
203 Try before you buy for Tourism Try before you buy for tourism. (AR/VR) VR can create super immersive experiences that are just made for Travel & Tourism. You can create incredibly compelling experiences to showcase destinations and attractions. Tour operators can allow customers to try before they buy. Tourism AR/VR
204 Historical Tourism Historical Tourism using (AR/VR) AR can add immense value for people in historical destinations. For example, castles can be populated with warriors from the past and ancient ruins rebuilt in front of peoples’ eyes or Taj Mahal being built on time-lapse. Build a software that runs on VR that can provide use cases of above mentioned experiences. Tourism AR/VR
205 Predicting Tourist Demand Predicting Tourist Demand Using Big Data The tourism industry thrives on information The vast new big data repositories of information—far greater than what is captured in standard databases—can provide researchers, managers, and policymakers with the data-driven evidence needed to make decisions on the basis of numbers and analysis rather than anecdotes, guesswork, intuition, or past experience. The bounty of tourism big data has the potential to deliver new and more highly informed inferences about human activity and behaviour that will give the tourism industry a big boost and benefit not only customers but also those who participate in the tourism industry. Use map reduce to predict the tourist demand for particular destinations using big data. Tourism Data Analytics
206 Taxation to avail for tourist places Cloud computing is an emerging technology shift is influencing all industries. The hospitality and tourism industry is an ideal candidate for the use of cloud solutions. Build a cloud-based platform that can provide cloud based invoicing and taxation solutions for hotels located all over the country. Tourism Cloud Computing
207 Flagging Fake News Flagging Fake news (Blockchains) Journalists compete among themselves to put out most interesting and informative story in least amount of time, which is great for the industry as a whole. But incorrect facts by other journalists and paid news hurts the industry. Build a Blockchain network where journalists can flag paid or fake news and trust score is calculated based on that. This will help both readers and journalists. Journalism Blockchain
208 Find patterns to fake news Find patterns from fake news samples (Data Analytics) Fake news detection on social media has recently become an emerging research that is attracting tremendous attention. Fake news detection on social media presents unique characteristics and challenges that make existing detection algorithms from traditional news media ineffective or not applicable. First, fake news is intentionally written to mislead readers to believe false information, which makes it difficult and nontrivial to detect based on news content; therefore, we need to include auxiliary information, such as user social engagements on social media, to help make a determination. Second, exploiting this auxiliary information is challenging in and of itself as users' social engagements with fake news produce data that is big, incomplete, unstructured, and noisy. Use sentimental analysis and other data mining techniques to find patterns in fake news so that they can be easily traced. Journalism Data Analytics
209 Aiding Journalists to find the conclusions using Data Analytics Aiding journalists to find conclusions using Big Data analytics (Data Analytics) It is often suggested that the advent of big data is transforming journalism. big data analytics enables an entirely new epistemological approach for making sense of the world; rather than testing a theory by analysing relevant data, new data analytics seek to gain insights “born from the data”’. Or, as Wired editor Chris Anderson famously claimed, big data means ‘the end of theory’. Instead of formulating and testing hypotheses about how the world works, now we can just ‘let the data speak’. Build a portal, which can leverage big data to help journalists make sense of huge data rather than making inferences on their own. Journalism Data Analytics
210 Flagging Fake News Flagging fake news using AI (ML/AI) Recent huge political decisions like Brexit and the U.S. presidential elections surprised journalists and professional predictors alike with their unexpected outcomes. In the aftermath, one major contributor has been identified as “fake news”: stories and memes with no basis in truth that may have been created to sway the outcome of these political events. With Indian General Elections less then an year away, we need to stop the spread of fake news. Build an AI tool with that can flag fake news. Journalism ML/AI
211 Protecting anonymous journalists Protecting anonymous journalists (cyber security) Journalists often need to be anonymous while covering news. Sometimes they don't have very high stakes involved and they have no other choice other then the deep web to stay anonymous. Revealing their identity can put their life in danger. Build a secure portal that can be hosted on normal web where journalists can interact anonymously and also post content without any fear. They must also be able to store their investigative data in encrypted form. Journalism CyberSecurity
212 Wrangle-Free Utilization of Electromagnetic Spectrum Wrangle-Free Utilization of Electromagnetic Spectrum (ML/AI) A spacecraft commonly relies on the radio systems to interact with the earth that oftentimes works on human intervention. The emergence of cognitive radio within space industry will, therefore help meet the largely multiplying demand and will increase efficiency in performance and response time. FCC (Federal Communications Commission) has determined the use of electromagnetic spectrum; portions of frequencies are used for communications. Cell-network service, satellite radio, Bluetooth, Wi-Fi etcetera. Automated and self-driven cognitive radios will intelligently pick up and employ underutilized segments of electromagnetic spectrum single-handedly. Space ML/AI
213 Prevention of odometer fraud using blockchain Prevention of odometer fraud using blockchain Odometer fraud, or "clocking," whereby vehicle sellers or dealerships tweak the odometer to make it seem that the car has been driven less miles than it actually has, which can increase the value of a vehicle, is not a new problem. It is believed that blockchain could eliminate this issue around mileage, "so nobody can tamper with it." It is based on the principle of multiple databases linked in a chain, each storing identical digital assets (data blocks). Traditional databases store this data on a single platform or server, which makes the data easier to manipulate or ignore. To tamper with vehicle odometer readings stored in a blockchain would require fraudsters to manipulate many different databases. Automobile Industry Blockchain
214 Vehicle Tracking On Blockchains VEHICLE TRACKING USING BLOCKCHAIN A common, unethical car dealer practice is to sell a showroom vehicle and then not report the sale to the bank, which had provided a loan for the vehicle. This practice allows a dealer to have working capital to bridge payroll and suppliers. If the bank catches on, it will take immediate action against the dealer. However, because the car is sold legally, the bank has no claim on the vehicle. At the same time, the financing to the dealer has been spent and must be written off. With transparent access to data, the asymmetry in information that allows this practice to happen goes away. Blockchain provide instant transparency and gains value as more stakeholders opt-in. Automobile Industry Blockchain
215 Car data transparency using blockchain Car data transparency using blockchain Blockchain-based solution which solves a problem with non-existing transparency about car history. If we consider that every car has on average 3 to 5 owners during its lifetime, it’s clear that 80% of car owners don’t know anything about their cars. The solution is based on gathering as much information about car history as possible, from different sources, and put it into the blockchain registry. That way if you want to buy a used car you will always be able to check car’s history. Automobile Industry Blockchain
216 Identity Management in airlines using blockchain Identity Management in airlines using blockchain Identities of individuals can be forged and used to accomplish fraudulent and terrorist activities. Blockchain solves this problem by validating identities with the help of biometrics. Once an identity is validated and stored on a blockchain, it is almost impossible to make changes to it as the network is highly protected and decentralized. This would also result in eliminating the use of paper passports and human-errors in the process of checking. Airlines ML/AI
217 Editing in marketing decentralized using blockchain Editing in marketing decentralized using blockchain With blockchain technology, marketers could work collaboratively on a writing project with the ability to see when an edit was made, who made it, and where. On top of that, the document would be decentralized, meaning that no single user has full ownership of a particular project. This provides equality in workplace. Marketing Blockchain
218 Smart contracts using blockchain Smart contracts using blockchain In the digital space, marketers benefit from this blockchain application in many ways. For example, in terms of ad enforcement, marketers could outline a smart contract breaking down the terms of an agreement between your company and a publisher. Once your number of impressions has been met and the fees are paid, the contact’s fulfillment is automatically confirmed, and your payment to the web publisher is released. Marketing Blockchain
219 Smart contracts can also be used to purchase or license rights from content creators Smart contracts can also be used to purchase or license rights from content creators. If you’ve ever used a song, photograph, or written piece for a marketing campaign, you’re sure to have encountered some issues with copyright or licensing. Marketing Blockchain
220 VR Reality Flight Testing Virtual Reality Flight Training A project to employ VR to assist in training not just pilots, but flight attendants and ground crew, as well. . Airlines AR/VR
221 AR in air traffic Visualization AR in air traffic visualization Augmented reality has the capacity to make the air-traffic visualization more effective. Pilots will be able to have a 360-degree view with statistics and virtual images that make air traffic clearly visible to them. As a result, pilots can keep an eye on the air traffic and fly safely. The enhanced use of AR in air-traffic visualization can improve the safety aspect of the aviation industry to a great extent. Airlines AR/VR
222 AR in aircraft maintainence AR in aircraft maintenance The application of AR in aircraft maintenance can result in amazing benefits in terms of safety. The commercial flight engineers can leverage AR to inspect and maintain their aircraft. The technology offers real-time details with a combination of technologies such as 3D scanning, sensors, and others. With such a comprehensive inspection, the maintenance of the aircraft can become incredibly successful, which brings safety to the industry. In 3D scanning, AR technologies offer a clear visual of the aircraft which allows the engineers to easily find dents, scratches and other issues with the aircraft. The technology is already available in the military. And now, the commercial aviation industry is also starting to realize its importance Airlines AR/VR
223 AI IN WAREHOUSING IN INDUSTRIES AI IN WAREHOUSING IN INDUSTRIES AI helps warehousing robots find the most efficient route for picking products. It can also be used to determine the best size box for a shipment based on the type, number, size and weight of the products. Some warehouses have even been able to implement machines that can pack products, using AI to pack them in the most space-efficient manner. Manufacturing ML/AI
224 Computer Vision For Branded Object Recognition using ML/AI Computer Vision For Branded Object Recognition using ML/AI Computer vision is a rapidly advancing field in AI that lends itself to a wide range of applications. Marketers can use ML-powered computer vision for product recognition and to extract user insight from unlabeled images and videos. Solutions like GumGum allow marketers to identify when their brand logos have appeared in user-generated content and quickly calculate earned media from video analysis. More tech-savvy marketers can use an API like Clarifai to build custom solutions for content moderation as well as search and recommendation engines based on visual similarity. Marketing ML/AI
225 Automated Data Visualization For Superior Reporting Images Automated Data Visualization For Superior Reporting Images speak louder than words. AI is a lot faster and more efficient at transforming data into visual insight than any human expert. Analysts usually use tools like Excel or Tableau to manually create visualizations, but automated enterprise analytics solutions such as Qlik can centralize data sources and generate useful dashboards and reports for your marketing teams. Many platforms now use data analytics and advanced machine learning algorithms to vividly clarify market trends, people’s behavioral patterns, and other information that are otherwise hidden from plain view and not readily convertible to practical insight. Marketing ML/AI
226 Sorting food,Looking for fresh produce Sorting food One of the most time-consuming processes in any facility that receives fresh produce is sorting. For example, sorting potatoes by size can help manufacturers decide which ones should be made into French fries versus potato chips or hash browns. Sorting out off-color tomatoes will help decrease rejection by the retailer or consumer. And, of course, all foreign matter needs to be sorted out as well. A product develops sensor-based optical sorting solutions with machine learning capabilities. The systems use various technologies, including cameras and near-infrared sensors, to “view food in the same way that consumers do” and sort it based on that perception. The result is fewer hours spent on manual sorting, higher yields and less waste, and better quality. Healthcare ML/AI
227 Cloud on creating an Ecosystem Cloud on creating an ecosystem There are practical applications for the use of cloud computing that create a whole ecosystem, from sensors and monitoring tools that collect soil data to agricultural field images and observations from human actors on the ground accurately feeding data repositories along with their GPS coordinates. As an example, sensors are now able to detect the location of a bale of hay in a field, as well as the amount of moisture it contains. Agriculture Cloud Computing
228 Cloud in accessing the predictive analysis Cloud in accessing predictive analysis information by the farmers Farmers can also use the cloud to access information from predictive analysis institutes, whereby they can have an accurate prediction on products that are in demand by different markets and adjust production accordingly. They are also able to have insight on weather conditions and other parameters affecting production. Agriculture Cloud Computing
229 Cloud in maintaining the different airline industry Cloud in maintaining different airline industry When it comes to servicing passengers, airlines are looking at cloud technologies to deliver services such as luggage drops with label printing and self-boarding gates. This is based on all the data generated from check ins, bookings and reservation systems, including customer details (required for visas and security clearances), that is centrally located and validated. The data is also easily accessible to airline staff, passengers, security personnel, and others who are entitled to some form of information access. Airlines Cloud Computing
230 Solve the scrutiny of food delivery Scrutiny of food delivery using cloud We have heard stories about unhealthy food reaching the consumer, triggering expensive recalls and a tainted public image for the supplier. This could be avoided if there were mechanisms in place to detect discrepancies at an early stage in the supply chain. Mounting concerns regarding food safety have prompted food producers and suppliers to use cloud-based sensors to provide information on location, monitor status and other parameters that help assess, track and trace the product at every stage of the supply chain. This allows them to pinpoint the specific time and place of any inconsistency. Retail Cloud Computing
231 Inventory Control using Cloud Inventory Inventory Control using cloud Inventory accuracy is critical, not only from a cost perspective but also from a safety point of view. Green Flash Brewery relies on its cloud ERP software solution to pinpoint ingredients that go into its beer recipes. The system tracks each aspect of inventory at the lot or container level, while keeping a detailed audit trail at each step of the process. Using barcoding and labels eliminates human error as inventory is checked in at every stage of receiving, production, and shipping. Retail Cloud Computing
232 Making the most in store flow. Making the Most of In-Store Flow Through big data and IoT, retailers are able to identify the buying behavior of their customers, where they hang out, and understand what their interests and hobbies are. With GPS, sensors and beacons, they can not only keep tags on the inventory, but inform the customers of coupons, promotions and exclusive events right on to their mobile devices. Retailers can identify the location of their customers and post deals and promotions that would interest them. Retail Data Analytics
233 Automative Analytics Automative Analytics - Or Telematics - In the Insurance Industry Insurance companies have also started using data science tools to analyze driving behavior. Sensor-derived data is fed to insurance providers, such as the driver’s speed, acceleration & braking habits, turning style, and usage of the vehicle in specific locations and/or conditions. All of this data helps to create a comprehensive driver profile and enables insurance companies to offer more accurate premium costs. Better drivers qualify for lower costs, while those who take greater risks may incur higher premiums. Automobile Industry Data Analytics
234 Data analytics in Design & Manufacturing of automobiles Data analytics in Design & Manufacturing of automobiles Data analytics can be used to design & manufacture vehicle. Designing errors are sometimes very costly once they advance from sketch level to production unit. With the implementation of analytics in the design & workflow software, we can find flaws while the vehicle is still in the blueprint stage. It will save a lot of costs & more importantly time. Analytics can track changes in design, quality of the work, entire production process as well as the safety of the products & its parts. It can prevent do-overs and can ensure supreme quality. This can also cut down significant cost associated with manufacturing & warehouse management. Automobile Industry Data Analytics
235 VR model which can help the drivers and can accelerate the delivery process. Delivery drivers are tasked with ensuring that products make it to stores, offices, homes, and distribution centres in a timely manner without damage done to products. Current processes include using navigation systems and manually checking cargo. With temperature-controlled loads, things are even more complex. These solutions are often time consuming and distracting. The latter increases the chance for accidents. VR can be used to significantly improve this part of the supply chain process. VR can be used to superimpose important information directly onto the windshield. Without glancing at a handheld device, drivers can see alternate routes, blocked roads and traffic snags. Even information about the load itself can be seen without the need to stop, climb into the back of the truck, and see what’s going on. Propose a VR model which can help the drivers and can accelerate the delivery process. Logistics and Transportation AR/VR
236 Development of E-marketplaes to connect food processors Development of e-marketplaces to connect food processors with agripreneur/farmers to bridge the value gap – Farm to Fork model • While self-sufficiency in agriculture has been a priority for the Government and several policy initiatives weave around this objective, the post-harvest management including agricultural marketing has not kept pace with the changes in economy, particularly relating to setting up of an efficient supply chain. The need to unify market both at State and National level is, therefore, important to provide better price to farmers, improve supply chain, reduce wastages and create a unified national market for agricultural produce. In such a scenario, National Agriculture Market (NAM) would create a win-win situation for both i.e. agripreneurs and processors. E-Commerce Undefined
237 Alternate usage of paddy straw (left in field after harvesting of paddy) to discourage farmers from burning the same especially in Haryana and Punjab Alternate usage of paddy straw (left in field after harvesting of paddy) to discourage farmers from burning the same especially in Haryana and Punjab • Burning of agricultural biomass residue, or Crop Residue Burning (CRB) has been identified as a major health hazard. In addition to causing exposure to extremely high levels of Particulate Matter concentration to people in the immediate vicinity, it is also a major regional source of pollution, contributing between 12 and 60 per cent of PM concentrations as per various source apportionment studies. In addition, it causes loss of vital components such as nitrogen, phosphorus, sulphur and potassium from the topsoil layer, making the land less fertile and unviable for agriculture in the long run. • The challenge is seeking for technological solutions for alternative usage of paddy straw to discourage Crop Residue Burning. Agriculture Undefined
238 Technology to subsitute the use of pesticides & insecticides to prevent pre-harvest losses Technology to subsitute the use of pesticides & insecticides to prevent pre-harvest losses • Insect, plant pathogen, and weed pests destroy more than 40% of all potential food production each year. This loss occurs despite the application of approximately 3 million tons of pesticide per year plus the use of a wide array of non-chemical controls, like crop rotations and biological controls. Due to lack of effective, affordable and eco-friendly technologies to control pests, farmers are left with no choice but to continue spraying harmful and toxic pesticides on crops. • The challenge is looking for technology solutions to substitute the use of pesticides & insecticides to prevent pre-harvest losses. Agriculture Undefined
239 Energy from WASTE Energy from Waste • Organic waste travels over 300 million miles every day, with municipal waste collection creating a massive carbon footprint and leaving a gaping missed opportunity for energy renewal in its wake. • There exists a vast amount of potential in this renewal source of energy where bacteria can be used to anaerobically digest organic waste created at that location and produce usable fertilizer, electricity, and water as a result. Across the globe, every thousand tons of waste processed results in 400 tons of carbon emission. Designing of various waste-to-energy plants, using anaerobic digestion that emits no greenhouse gases. Digestion systems can be created, which are compact, easy to install, and turnkey appliances. They could also have the potential to significantly increase market adoption for on-site generation of energy and income from food waste, sewage, and animal manures directly at the sites of smaller waste producers Renewable Energy Undefined
240 Recommendation Engines Recommendation engines Data science and machine learning tools can create simple algorithms, which analyze and filter user’s activity in order to suggest him the most relevant and accurate items. Such recommendation engines show the items that might interest the user, even before he searched for it himself. To build a recommendation engine, data specialists analyze and process a lot of information, identify customer profiles, and capture data showing their interactions to avoid repeating offers. The type of recommendation engines depends on the filtering method of the algorithm. Collaborative filtering methods can be either user-based, or item-based, and work with user behavior to analyze other users’ preferences, then make recommendations to the new user. The main challenge in collaborative filtering approach is using a huge amount of data that causes computation problems and increased price. Content-based filtering works with more simple algorithms, which recommend similar items to the ones the user engages with referring to a previous activity. These methods can fail in case of complex behaviors or unclear connections. There is also a hybrid type of engines, combining collaborative and content-based filtering. No method is universal, each of them has some pros and cons, and the right choice depends on your goals and circumstances. Marketing Undefined
241 Customer Support Customer support Outstanding customer support service is the key to keep a productive long-term relationship with your customers. As a part of customer service, customer support is an important but broad concept in the banking industry. In essence, all banks are service-based businesses, so most of their activities involve elements of service. It includes responding to customers’ questions and complaints in a thorough and timely manner and interacting with customers. Data science makes this process better automated, more accurate, personal, direct, and productive, and less costly concerning employee time. Marketing Undefined
242 Exclusive Use Case 1: Shared KYC / AML (Anti Money Laundering) Overview: The Know Your Customer (KYC) processes are ever evolving and even more so the solutions around it in the eco-system. KYC is required for almost everything we procure and all the business embrace it whether it is for mitigating risk, on-boarding, providing more customized solutions and more importantly preventing Money Laundering and combating terrorism. Current Challenges: Globally the efforts and investments for prevention of financial crimes, money laundering and terrorist funding, have seen a significant increase. However, financial institutions and Banks are often penalized for failing to follow KYC guidelines due to volatility, uncertainty, complexity, and ambiguity. Business Requirements A blockchain-based registry which could remove the duplication of effort in carrying out KYC checks. Closed loop system to create, maintain and share ledgers of financial activities. Perhaps, create a complete eco-system around it in a manner that various bodies like tax authorities, company registries, law enforcement bureaus, judicial bodies, banks, media house and corporates, can derive insights and update records. GravitiChain Blockchain
243 Exclusive Use Case 2: Syndication of Loans/ Consortium Lending Overview: The digital transformations have brought down costs and streamlines processes in banking and finance over the years. Areas such as trade finance, corporate lending, syndicate lending are still in the nascent stages when compare to the more popular counterparts like payments and KYC. Current Challenges: Growth amongst amidst the even increasing regulatory and compliance requirements of KYC/ AML, newer data protection and customer secrecy laws. Business Requirements A closed loop environment which holds the customers and syndicate banks tracks like limit utilization, documentation, fee distribution, KYC/ AML and due diligence conducted. GravitiChain Blockchain
244 Exclusive Use Case 3: Trade Finance Overview: Blockchain offering with opportunity to finance trade more cheaply and with less risk. Current Challenges: Trade finance is part of banking which has mostly been paper based activity, with related complexities in execution, efficiencies, cost and risks. Business Requirements Blockchain holds the potential to address the vulnerabilities, while making the processes simpler and secure in trade finance space. Eliminating paper moments, Enhancing customer due diligence, containing thorough KYC and legacy and bringing the overall costs down. GravitiChain Blockchain
245 Exclusive Use Case 4: Asset registry & asset rehypothecation Overview: Asset re-hypothecation is a very common practice in finance world, where the financial institutions/ banks can use securities of the borrower for its own trade purposes. Current Challenges: Asset re- hypothecation can be complex when there are multiple assets involved with mixed ownerships. Hence, the regulators often have limits on re-pledging of assets. There are other challenges in terms of track history of the asset, ownership and value, etc. Furthermore, if any of the counterparties defaults, the whole chain may get affected. Business Requirements Blockchain can mitigate the challenges by bringing order, legacy, market categorization, pricing and ownership, etc. in real time and execution abilities via smart contracts. An ecosystem which has all the counterparties and an asset registry along with the regulatory body, which provides the necessary control framework and reporting system. GravitiChain Blockchain
246 Exclusive Use Case 5: Auto Reconciliation in Payment Overview: In the digital payments space there are multiple e-collection platform by the financial Institutions made available for the customers / merchants for initiating collections. The merchants upload the data in application which tags each data with some unique reference and provide links for making the payments. The mode of payment could be (a) Net-banking of partner banks (b) Debit card, (c) credit card or (d) cash / Transfer cheque through Bank/ card aggregators. Post successful payment, the aggregators share the funds and related reports with financial institutions. This data is compared with the transaction status data in base system and post successful validation/ reconciliation, payout is effected to the corresponding merchants. Current Challenges: Current funds settlement process entails certain manual intervention owing to multiple data sources and modes of payment and various dependencies. Settlement is carried out generally once a day and multiple legs of reconciliation are required to be embedded at each stage which result into delays and customer dispute. Business Requirements: If the base transaction is stored in a common place wherein the stakeholders would append data/ information which can act as •common repository for all stakeholders to conclude each stage •Facilitate real-time settlement of funds to the merchant •Common platform thereby facilitating faster customer dispute resolution •Elimination of need of multiple reconciliation •better transparency GravitiChain Blockchain
247 Exclusive Use Case 6: Trade Equity Derivatives Overview: Financial Institutions/ Banks are Professional clearing member with Stock Exchange in Derivative segments. For providing instant position to Institutional clients like Mutual Funds, FPIs, Primary Dealerships, HNW Individuals, etc., banks are required to make checks the collaterals deposited by clients. The entire trade transaction has multiple parties like stock exchange, banks, brokers, customers, etc. Current Challenges: All the Entities involved in the trade confirmations are not on a common platform. Business Requirements: Real time collateral monitoring between Stock Exchange and Financial Institutions and autoapproval based on rules defined through Smart Contracts. GravitiChain Blockchain
248 Exclusive Use Case 7: Blockchain in Recruitment Overview: Good recruitment is of utmost importance to any organization - finding the right candidate for the right position in due time. It is an activity of matching the organizations ambitions with the right amount of skill within the workforce. Effective recruitment is not just about filling an immediate vacancy but it is about having an sense of future vision of the organization which directly impact the overall performance. Current Challenges: Some of the key challenges which the recruitment process are poised with are Background verification, degree validation, Talent management and Acquisition. Each of the activities are slow and may require internal or third party intervention. Business Requirements: Each candidate’s records such as identity proofs, degrees, employment history, salaries drawn, immigration history, etc., can be part of a Blockchain system which can offer pre-validation to the employer or education institution. Access control can be with candidates who can update their profile and provide access to their employer at the time of recruitment. Since the institutions and ex-employers would be part of the chain, no further verifications would be needed. Further, basis the access to skill levels of the candidate, appropriate positions can be offered. GravitiChain Blockchain
249 Exclusive Use Case 1: Blockchain & GDPR Compliance Overview: Blockchain based transaction platform for P2P lending which is compliant with the recent General Data Protection Regulation (GDPR) regulations, implemented in the European Union (EU), supporting modification and deletion of user specific data on a blockchain. Current Challenges: Governments all over the world have recently been introducing, or proposing, legislation in regard to data privacy and storage. In recent years, legislation has been moving clearly in the direction of giving data ownership back to people. That is especially visible in Europe, where with GDPR, which started was brought into effect in May ‘18, a person is legally entitled to move his/her data from any one platform to another (called “data mobility”) and he/she can request that companies delete all his/her data (“right to be forgotten”). There is increased focus to ensure compliance with the guideline as there is an imposition of extremely hefty fees for companies not abiding by it. Furthermore, its reach goes far beyond the EU as it also applies to any form of information (e.g. PII, transactions) that go through data processors (corporates, analytics platforms etc.) and data regulators (government, compliance firms) pertaining to EU individuals. While Blockchain shares the goal of putting the control back in the hands of the user by decentralizing information, another of its key feature, immutability is counter intuitive to the user’s right to be forgotten. Immutability basically means that transactions once recorded on Blockchain can’t be modified or deleted. With that in mind, the question is how do we design a Blockchain solution that can be made to comply with this regulation and provide a feature where a user’s data can be masked or deleted should the user choose the right to be forgotten. Business Requirements • Basic P2P lending platform facilitating exchange of value/tokens on a blockchain based network. While the basic functionality of a P2P lending/transaction platform should be available, the key area of focus should be around how can we make the solution compliant with GDPR regulation. • Solution should be flexible enough to allow movement of user specific data from one platform to another. • Solution should be flexible enough to allow deletion or anonymization of user specific data in case a user withdraws consent GravitiChain Blockchain
250 Exclusive Use Case 2: Blockchain Platform for Certificate Issuance and Verification Overview: Blockchain based platform for storing digital certifications and real time analysis for document verification and fraud detection with analytical capabilities. Current Challenges: Certificates are not only a proof of achievements or capabilities that one might possess but also can be used to validate these credentials to a third party. At the moment most of the certificates are issued in a paper format, which makes it susceptible to manipulation. Thus, one of the major concerns is not only issuing the documents to the right candidate but rather assessing whether it has been tampered with or duplicated for personal gains. We would like to leverage the potential of Blockchain to create a Platform that digitizes the process of issuance, endorsement and consent based sharing of certificates. Amongst others, the key questions that need to be addressed are – 1. Can we prove that a certificate hasn’t been tampered with or altered? 2. Can we ensure that only genuine parties can issue, endorse, store and consume the certificates? A stakeholder ecosystem must be created which allows adding/modifying certification authorities and real time users/verifiers based on ad hoc requests. Business Requirements • Basic blockchain platform facilitating storage of the digital certificate connected to a user/ organization. • Certificate verification • User Interface to connect the different stakeholder in the ecosystem. • The digital certificate can be of different file formats (PDF, Word, JSON) or rather file format agnostic. • Solution should be flexible enough to allow addition/deletion of different stakeholders in the system. GravitiChain Blockchain
251 Exclusive Use Case 1: Simplifying and Speeding - Cross Border Payments Overview: A payments solution is required that will help financial institutions address the processes of universal cross-border payments, and will reduce the settlement time and lower the cost of completing global payments for businesses and consumers. Current Challenges: • Banks’ reliance on correspondent, relationships drive prohibitive costs and poor customer experience • Retail banks are losing market share to agile, customer-focused non-bank competitors • Global de-risking efforts have cut off high-potential emerging markets • New regulatory requirements address data privacy, security and open up competitors Business Requirements • Create secure, high volume, low-cost, cross-border payments services without sacrificing margins. • Access new markets and currencies with limited risk • Generate new sources of revenue with value-added products and services • Integration with digital identity solutions and new value-added services • Efficient real-time market pricing across digital and fiat currencies driven by proven FX and market solutions • Multi-ledger settlement network for interchangeable alternative settlement assets and channels • Simple API for 24/7 payments, regardless of size, origination, destination, or asset type • Messaging and clearing channels • Real-time atomic clearing and settlement GravitiChain Blockchain
252 Exclusive Use Case 2: Simplifying Financial Regulatory Reporting and Compliance Overview: A BlockChain based Regulatory Solution is required that streamlines traditional regulatory reporting processes globally by acting as a central repository for the safe storage and review of large volumes of regulatory data. Current Challenges: Operational Inefficiency • Manual keying from core systems to reporting tools • Reliance on MS Excel as reporting tool • Quarterly and month-end workload pressures • High cost, low value and non-differentiating process Data Management • Questionable data quality • Potential for data manipulations • Data errors due to manual keying • Time consuming extraction, reconciliation and report generation Complexity & Change • Increasing requirement for granularity with look through and advanced analytics • Changing requirements of domestic and regional regulators • High cost of change with legacy applications Cost Challenges • Increasing FTE (Full Time Equivalent) cost burden on the fund administrators due to new regulations • Large scale IT costs relating to improving existing legacy systems • Adverse effect on the cost: income ratio Business Requirements • Enables the logging and recording of transactional and positional data securely using blockchain technology, also acts as an audit database for Financial Regulatory Reporting. • Ensures data integrity with smart contracts, Executes reporting requirements and Audits any changes made to the data by authorized parties. • Platform should ensure internal control and regulatory checks (e.g., beta checks) to ensure the participant is compliant. • Platform should solve Operational challenges while ensuring the integrity of data and removing post submission engagement. • Creates a single source of truth, which any authorized party can use as a basis for statistical analysis and to provide actionable insights. The platform should also have Integrations to other Reporting Solutions. • Platform Infrastructure should be Scalable, it should be able to handle multiple transactions and retrieve regulatory reports for authorized parties. GravitiChain Blockchain
253 Exclusive Fintech Open Ended Problem: Disrupt P2P Lending Peer-to-peer (P2P) lending is the practice of lending money to individuals or businesses through online services that match lenders with borrowers. Since peer-to-peer lending companies offering these services generally operate online, they can run with lower overhead and provide the service more cheaply than traditional financial institutions (quoted from Wikipedia). The challenge is to build use-cases and solutions around this leveraging the blockchain & smart contract concept to make P2P lending a free market Environment with no Intermediaries where market participants can engage in business in a trusted, secure and decentralized manner. Note: Participants are required to submit a Use Case and an Implementable Solution GravitiChain Blockchain
254 Exclusive Access to Public Benefits, Schemes and Utilities Overview: A solution is required that can improve government services, ensure trust, serve citizen needs, fight fraud and help meet compliance demands through trusted, immutable records. Government agencies provide services—from issuing identification to registering property, administering public elections and enforcing laws—that require deep trust from citizens. Earning that trust requires meticulous data stewardship; efficient, permissioned data sharing and authentication; and carefully crafted privacy protections. Current Challenges: • Data architects, administrators and privacy officers must protect citizens’ personal information, yet keep vital information accessible when needed. • Scale complicates life for government administrators, the vast scope of mandated services, and the huge workforces needed to provide them, open the door for fraud, waste and abuse— and invite simple but significant errors in vital public records. • Limited visibility in supply chains within large-scale government purchasing systems can lead to waste through over-ordering—or failure to meet critical needs because of unanticipated shortages. Late delivery can lead to significant losses across the range of government services, from military operations to municipal services. • Asset Registration's (real estate as well as personal property) suffer from slow, duplicative processes and a reliance on error-prone, incomplete and manual data entry. • Fraud, information privacy abuse and accidental data exposure plague government data transactions. • The financial and personnel costs of providing rigorous identity services, are enormous and the processes are inefficient. Business Requirements • Track an object’s precise location within the supply chain, and its accompanying immutable digitized documentation, reducing uncertainty and increasing your ability to plan for infrastructure needs, even with lean budgets. • Link asset ownership to other attributes in such a manner that government agencies gain operational efficiency and also gain deeper citizen trust in publicly held property records, without disrupting existing registry data but digitizing it. • Increase process efficiency through intelligent workflow design and data aggregation, especially for data shared across agencies. • Enable Government agencies to create a single, trustworthy collection of identity and authentication documents, which would reduce time spent reconciling data conflicts and minimizing the steps citizens need to take. • Allow advanced, automated smart contracts to help govern processes and business flows that are agreed upon by the consensus network. • Leverages advanced cryptography to create permissioned records, ranging from personal identification to registered property transactions, available to authorized members of the blockchain network such as tax authorities or other government agencies. • Help government leaders and agencies confidently create a framework of linked data records—an immutable ledger—that preserves vital information in a distributed, highly available form based on trust and transparency, even at the largest scales. GravitiChain Blockchain
255 Exclusive HealthCare Information Exchange System Overview: A HealthCare Information Exchange Solution is required that will transform healthcare enterprises and increase quality of care by enabling new ecosystems—and new business models—to evolve. The system should enable sharing of clinical information in a trusted, secure & consensual manner within an organization, with healthcare partners, payers, and most importantly, with patients. Current Challenges: • Disparate record-keeping systems mean that records of patient consent and medical history can be incomplete, conflicting or ambiguous • Clinical trial management generates mountains of data, and requires administrators to keep reliable, consistent records for peer review and to meet regulatory requirements • Quantifying the worth of medical care is difficult, and accounting for the real costs of all aspects of healthcare can frustrate providers and patients alike. New regulatory requirements address data privacy, security and open up competitors Business Requirements • A record management system is needed that can be used to provide complete longitudinal health records for individuals, giving all patients more control over their own information through verifiable consent (Aadhar Linking). • Every patient’s records should reflect the best-known medical facts— from genomics data to diagnostic medical imaging—and can be reliably transferred when needed, with no need for a central gatekeeper. • The Record management system, in concert with electronic data capture (EDC), can allow clinical data to be automatically aggregated, replicated and distributed among researchers and practitioners— with greater auditability, provenance tracking and control than complicated, conventional systems. • Should have options of anonymized data access to encourage financing the solution. • Outcome-based contracts which tie clinical outcomes to costs, so providers ranging from pharmacies to hospitals can offer healthcare to consumers with a fee-for-value model instead of fee-for-services and reduce the complexity of records. Real-time atomic clearing and settlement. GravitiChain Blockchain
256 Exclusive Underwriting and Claims Management – Insurance Overview: A BlockChain based Solution is required which will act as a decentralized digital repository which independently verifies the authenticity of customers, policies and transactions (such as claims) by providing a complete historical record, and insurers would be able to identify duplicate transactions or those involving suspicious parties. In underwriting, the solution should improve risk assessment, and enhance client onboarding. The solution should simplify claims submission processes, reduce fraud and improve customer experience. Current Challenges: • Inefficient exchange of information & Fraud prone Process • Limited Under Writing accuracy • Complex liability assessments for syndicates / reinsurance • Fragmented data sources • Use of middlemen • Manual claims review and processing Business Requirements Underwriting Risk Assessment: • Enable trusted and verifiable provenance information • Provide transparency on existing or past insurance policies and claims associated with property and/or insuree • Enable shared interface with trusted third-party data providers (i.e., real state registry, notary services, public records, etc.) Quoting: • Improve accuracy of pricing through transparent quantification of risk and disintermediation of third-party intermediaries • Provide digital smart contracts to capture obligations and terms binding the insuree and insurer Onboarding: • Enable capture of immutable, trusted, and verifiable information based on digital cryptography • Provide fast, seamless, and transparent experience in binding policy to insures Claims Processing Claim registration • Provide trusted and verified submission of claim data and/or documentation • Enable automated pre-assessment of the loss coverage against the policy • In case of smart assets/properties, enable claim to be securely and automatically submitted without human intervention • Automate process to engage repair and assistance providers in order to reduce response time and ensure use of preferred suppliers Claim assessment • Provide access to validated external data through trusted sources (i.e., oracles) • Enable automated determination of loss liability • Enable automated assessment of loss coverage for syndicates / reinsurance • Enable programmable escalation to human decision making in case of complex risks Payment and closure • Provide automatic payment to insurees through smart contracts • Provide immutable and transparent proof of claim settlement GravitiChain Blockchain
257 Exclusive IoT Open Ended Problem: Combining IoT and Blockchain towards New Levels of Trust Blockchain holds the potential to securely unlock the business and operational value of Internet of Things (IoT) to support common tasks, such as sensing, processing, storing information, and communicating. With the advent of 4G (and 5G soon) and the prices substantially dropping for smart devices; IoT is becoming more accessible to the common man. This presents a unique challenge to enterprises in this space which is around effective management of devices and identification of new engagement opportunities leveraging this. The challenge is to leverage BlockChain to manage large scale IoT management. GravitiChain Blockchain
258 Exclusive Track: IoT Problem: Combining IoT and Blockchain towards New Levels of Trust Blockchain holds the potential to securely unlock the business and operational value of Internet of Things (IoT) to support common tasks, such as sensing, processing, storing information, and communicating. With the advent of 4G (and 5G soon) and the prices substantially dropping for smart devices; IoT is becoming more accessible to the common man. This presents a unique challenge to enterprises in this space which is around effective management of devices and identification of new engagement opportunities leveraging this. The challenge is to leverage BlockChain to manage large scale IoT management. GravitiChain Blockchain
259 Exclusive Track: Telecom Problem: Reimagining Telecommunications with Blockchain Telecom is one such domain which has been disrupted time and again. The volatility and entropy that exists in this domain is probably among the highest in the industry. That being said, the innovation that’s needed in telecom operations therefore is truly exceptional. The challenge is to leverage blockchain to transform and disrupt telecom operations by Employing blockchain for internal efficiencies - including interactions with suppliers and other CSPs (communication service providers); Providing services on blockchain developed for customers and delivered and controlled by CSP; Collaborating in business ecosystems & Serving each ecosystem participant as a peer and trusted partner. GravitiChain Blockchain
260 Exclusive Track: Fintech Problem: Disrupt P2P Lending Peer-to-peer (P2P) lending is the practice of lending money to individuals or businesses through online services that match lenders with borrowers. Since peer-to-peer lending companies offering these services generally operate online, they can run with lower overhead and provide the service more cheaply than traditional financial institutions (quoted from Wikipedia). The challenge is to build use-cases and solutions around this leveraging the blockchain & smart contract concept to make P2P lending a free market Environment with no Intermediaries where market participants can engage in business in a trusted, secure and decentralized manner. GravitiChain Blockchain
261 Exclusive Digitized Supply Chains - Global Logistics & Transportation Overview: A supply chain tracking solution is required that will help Global Logistics & Transportation institutions in digitizing their paper trails, improving consignment tracking while reducing processing time and operational costs of transferring goods globally for businesses and consumers. Current Challenges: • Transport operations remains highly dependent on a flood of paper trails that is never digitized • Logistics information passes through many hands, increasing potential for delays in transport • Each consignment can require sign-off from multiple stakeholders in multiple organizations globally, one lost form or late approval could leave the consignment stuck in a port/hangar/warehouse. The entire process can take weeks or even a month Business Requirements • All parties have end-to-end visibility of the consignment’s progress through the supply chain • Reduce or eliminate fraud, pilferage and errors • Improve inventory management (Pharma Cold Chain etc.) • Improve warehouse/port/hangar operational efficiency • Minimize courier costs • Optimize associated Business Processes • Reduce delays from paperwork & Reduce waste • Identify potential issues faster GravitiChain Blockchain
262 Exclusive Telecom Open Ended Problem: Reimagining Telecommunications with Blockchain Telecom is one such domain which has been disrupted time and again. The volatility and entropy that exists in this domain is probably among the highest in the industry. That being said, the innovation that’s needed in telecom operations therefore is truly exceptional. The challenge is to leverage blockchain to transform and disrupt telecom operations by Employing blockchain for internal efficiencies - including interactions with suppliers and other CSPs (communication service providers); Providing services on blockchain developed for customers and delivered and controlled by CSP; Collaborating in business ecosystems & Serving each ecosystem participant as a peer and trusted partner. GravitiChain Blockchain