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< back AI Use Case Generate synthetic datasets for deep learning Synthetic datasets is a way for researchers to train machine learning programs when sufficient real-world data is unavailable, difficult to obtain, or raises ethical or privacy concerns. Certain use cases for AI lend themselves better to synthetic datasets than others. Function Information Technology Other Benefits ​ Case Studies Boston University~Researchers from Boston University improve automatic parameter selection for synthetic data creation,NASA~NASA replaced output from a faulty sensor in space by using other sensor data to predict the ultraviolet radiation sensor measurements with 97% accuracy Potential Vendors IBM Industry Public And Social Sector Education And Academia Data Sets ​ AI Technologies ​

< back AI Use Case Enhance motor insurance by predicting driving behaviour through the use of language in Facebook posts Use social media footprint to build predictive models for assessing individuals behaviour in the real world - specifically driving behaviour and therefore insurance risk. This raises potential data protection concerns in markets like Europe but is a key part of China's national AI development roll-out. Function ​ ​ Benefits Risk reduction - Evaluate counter-party risk (eg credit scores) Case Studies Admiral~Admiral automobile insurance planned to offer discounts to drivers based on data in their Facebook profiles but were prevented by Facebook,Aviva~Aviva offers up to 30% discounts on insurance premiums based on actual driving behaviour that is monitored and analysed through machine learning Potential Vendors ​ Industry Financial Services Insurance Data Sets Text,Structured / Semi-structured AI Technologies Product Type - NLP - Text Entity Extraction,Product Type - Natural Language Processing (NLP),Machine Learning (ML),ML Task - Prediction - Annotation,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Binary Classification

< back AI Use Case Predict population health patterns Predicting changing health patterns in a population based on data including which health services are accessed and how often, patient treatment outcomes, demographics etc. Allows for healthcare system resource planning. Function ​ ​ Benefits Operational Support - Situational awareness,Operational Support - Demand forecasting Case Studies University of Rochester~University of Rochester researchers have developed an app that monitors social media to identify health risks posed by restaurants using natural language processing and machine learning,HealthMap~HealthMap analyses social media and publicly available healthcare data to detect and predict outbreaks around the globe,Harvard University~Researchers detect restaurants with elevated risk of foodborne illness in real time using machine learning Potential Vendors ​ Industry Healthcare Healthcare Providers And Services Data Sets Structured / Semi-structured,Text AI Technologies Traditional AI,Machine Learning (ML),Product Type - Natural Language Processing (NLP),Model Architecture - Support Vector Machine (SVM),Product Type - NLP - Semantic Clustering,ML Task - Prediction - Binary Classification

< back AI Use Case Generate actionable analytics from sales calls Advanced analytics on call data to uncover insights to increase sales effectiveness Function Sales Sales Management Benefits Revenue - Sales support (eg information) Case Studies Insurance Company Anonymous~An anonymous global insurance company analysed customer contact recordings and claims data to drive sales yields using natural language processing Potential Vendors Reinfer Industry ​ ​ Data Sets Audio,Structured / Semi-structured AI Technologies Product Type - NLP - Natural Language Understanding,Product Type - Natural Language Processing (NLP),Machine Learning (ML),ML Task - Prediction - Data Translation/Transformation,Product - Voice Transcription

< back AI Use Case Detect potential medical events from wearable sensor data and signal emergency response Detect major trauma events from wearable sensor data and signal emergency response. Real time sensors are used to monitor individual symptoms to alert emergency staff to urgent health issues. This can be extended to analysing incoming phone calls for audible clues. Function ​ ​ Benefits Operational Support - Situational awareness,Operational Support - Issue / outlier ID,Risk reduction - Patient outcomes Case Studies Cardiogram and UC San Francisco~Cardiogram detects atrial fibrillation with 97% accuracy surpassing FDA-cleared wearable ECG devices using the Apple Watch and machine learning,"Blue Cross Blue Shield~Blue Cross Blue Shield reduced post hospitalisation costs by over 20% by driving patient engagement with digital post care programs using smart devices, sensors and machine learning ","Danish Emergency Services~Danish emergency service dispatchers identify heart-attacks in real-time emergency calls with 95% accuracy, compared to 73% for human dispatchers, with real-time speech analysis and machine learning " Potential Vendors Cardiogram,Wellframe,Corti Industry Healthcare Healthcare Providers And Services Data Sets Time series AI Technologies Machine Learning (ML),ML Task - Grouping - Anomaly Detection,Product - Data Capture - Bio Sensor,Product - Data Capture - Actigraph,ML Task - Prediction - Data Translation/Transformation

< back AI Use Case Specify approach to crop growth based on individual plot characteristics and real time data Specify crop growth techniques based on individual plot characteristics and relevant real time data. Scaling out best practice in agriculture will be potentially transformative when applied to the world's nutrition challenges. Function ​ ​ Benefits Revenue - Product optimisation,Cost - Optimise resource allocation Case Studies Good Doctor Pharmaceutical Group~The Good Doctor Pharmaceutical Group's farm achieves manufacturing efficiency in breeding cockroaches for medicinal purposes through an AI-powered smart system,PEAT~PEAT identifies 400 diseases and pests from farmers' uploaded photos on their new mobile app Potential Vendors PEAT,Nvidia Industry Basic Materials Agriculture Data Sets Time series AI Technologies Machine Learning (ML),Model Architecture - Deep Neural Networks,Model Architecture - Convolutional Neural Network (CNN),ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Regression,ML Task - Action Selection - Reinforcement Learning ,Product Type - Vision

< back AI Use Case Automate generation of articles or other written work like press releases Automate generation of articles - for example using national data sets and then producing local variant articles from this. The same can be done for press releases. Function R And D Product Development Benefits Cost - Job automation,Operational - Service / outcome scaling Case Studies "Press Association~Press Association generates 30,000 local news stories a month based on public open datasets and natural language generation",JX Press Corp~JX Press Corp automates news story generation and writing by using AI to find events on social media,Associated Press~The Associated Press has 14-fold increase in its quarterly corporate earnings reporting using Automated Insights' natural language generation platform,Associated Press~The Associated Press transforms raw earnings data into publishable stories using Natural Language Generation,The Atlantic~The Atlantic editor's neural network aimed at generating publishable content failed Potential Vendors Urbs Media,Automated Insights,Automated Insights Industry Consumer Goods And Services Media And Publishing Data Sets Structured / Semi-structured,Text AI Technologies Machine Learning (ML),ML Task - Prediction - Generation

< back AI Use Case Optimise traffic/passenger flow through visual data including video and images Real time information such as images or live footage can provide information on crowd flow in areas where congestion is undesirable (e.g. airports or train stations). Machine vision is being used to process the data and prompt the necessary management actions to optimise passenger flow. Function Operations Field Services Benefits ​ Case Studies JFK International Air Terminal~JFK International Air Terminal 4 optimises passenger flow with computer vision,Ports of Jersey~Ports of Jersey minimises passenger wait times with the use of machine vision Potential Vendors CrowdVision,CrowdVision Industry Transportation Other Data Sets ​ AI Technologies ​

< back AI Use Case Identifying new customer growth segments and opportunities Identifying new customer growth segments and opportunities - for example those that are underserved by the traditional operating approach. One example might be customers for whom there is limited credit history. Function Marketing Customer Management Benefits Revenue - Better targeting,Revenue - New customer discovery Case Studies "Kreditech~Kreditech determines credit worthiness of thin file customers by analysing the way they use internet, social media data, location data and past behaviour, using machine learning",Watchfinder~Watchfinder increases average order value by 13% with targeted re-marketing campaign using Google Analytics Potential Vendors Google Industry Financial Services Insurance Data Sets Structured / Semi-structured AI Technologies ​

< back AI Use Case Assist developers by helping them to identify code errors in real-time Assist developers by using AI to help them accelerate code development by automatically spotting errors Function Information Technology Development Benefits Operational - Faster system build / test / deploy,Cost - Staff efficiency Case Studies Ubisoft~Ubisoft detects 60% of video game coding errors and recommends solutions in real-time using machine learning,Rice University~Rice University researchers are developing an application that writes Java API code snippets using deep learning Potential Vendors ​ Industry Technology Software And It Services Data Sets Structured / Semi-structured AI Technologies Machine Learning (ML),Model Architecture - Deep Neural Networks

< back AI Use Case Enable image analysis or GCMS analysis in a high throughput manner Image analysis or GCMS analysis in a high throughput manner. Applications of GCMS include drug detection, fire investigation, environmental analysis, explosives investigation, and identification of unknown samples. Function R And D Core Research And Development Benefits Operational - Process speed up,Cost - Job automation Case Studies "Capitol Health~Capitol Health improves accuracy of diagnosis from scans, X-rays etc using deep learning" Potential Vendors Enlitic Industry Healthcare Healthcare Providers And Services Data Sets Images AI Technologies ​

< back AI Use Case Identify fraudulent customer claims for transportation delays Ensure rapid response - and fraud risk analysis - on claims by customers whose trains have been delayed. By nature this will be peaky (given that train delays frequently cascade) - and customers will expect brisk turnaround (the timing of this may also be open to regulatory monitoring). AI enables this challenge to be met and can also check for those attempting to use the situation to defraud the business. Function ​ ​ Benefits Cost - Fraud reduction,Operational - Process speed up Case Studies UK Train Operating Companies~UK Train Operating Companies automates 93% of claim processing and detects fraudulent payback claims for trains delayed by more than thirty minutes with 70% accuracy using machine learning Potential Vendors Quantexa Industry Transportation Freight And Logistics Data Sets Structured / Semi-structured,Text AI Technologies Machine Learning (ML),ML Task - Grouping - Anomaly Detection