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< back AI Use Case Optimise mine plans based on data such as drilling samples or historic and comparable site performance Optimise mine investment and plans based on drilling samples, past sites, and other data. This may include publicly available data and specially collected private data. Function ​ ​ Benefits Operational - Lower error rates,Cost - Optimise resource allocation Case Studies Roy Hill~Roy Hill iron ore project optimises mine operations planning based on predicting supply chain outcomes,Goldcorp Inc.~Goldcorp plans to increase accuracy of identifying potential mining prospecting areas using IBM Watson and machine learning to analyse drilling and geological data Potential Vendors Schneider Electric,IBM Watson Industry Basic Materials Mining And Metals Data Sets Images,Structured / Semi-structured,Time series AI Technologies Traditional AI,ML Task - Action Selection - Reinforcement Learning ,ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Regression

< back AI Use Case Optimise factory throughput management with better resource planning Providing more relevant data so finance, operations, and supply chain teams can better manage factory and demand-side constraints. Function Manufacturing General Manufacturing Benefits Cost - Asset uptime optimisation,Operational Support - Performance tracking Case Studies Tesla Inc~Tesla falls more than 15% short of Model 3 production goal due to over-automation of the production line ,FANUC~FANUC will offer advanced manufacturing capabilities by enhancing industrial robots with deep learning Potential Vendors Nvidia Industry ​ ​ Data Sets Structured / Semi-structured,Time series AI Technologies Machine Learning (ML),Product Type - Robotics

< back AI Use Case Optimise staffing and labour resource allocation to reduce healthcare bottlenecks Optimise labour staffing and resource allocation to reduce bottlenecks in medical institutions - in many hospital systems significant time for example is spent researching into, and managing, bed availability. Function Human Resources Employee Relations Benefits Cost - Asset uptime optimisation,Cost - Reduced waiting times,Operational - Process speed up Case Studies Gold Coast Health~Gold Coast Health saves $3m per annum in operational costs by forecasting patient arrival rates at emergency care using machine learning,Mercy Hospital Fort Smith~Mercy Hospital Fort Smith improves patient flow and throughput in the ER to improves LWBS rates by over 30% using machine learning,Johns Hopkins Hospital~Johns Hopkins Hospital improves patient monitoring and resource allocation in ER and critical care units in real-time using machine learning,University College London Hospitals~UCLH plans to use machine learning to triage patients in A&E and better predict demand for the service Potential Vendors CSIRO,Qventus,GE Healthcare,Alan Turing Institute Industry Healthcare Healthcare Providers And Services Data Sets Structured / Semi-structured,Time series AI Technologies ML Task - Action Selection - Reinforcement Learning ,Machine Learning (ML),Traditional AI

< back AI Use Case Automate background checking for potential employees Automate background checking for potential employees using social media, news feeds, references and relevant databases (credit scores, criminal record) Function Human Resources Recruitment Benefits Operational - Candidate selection,Risk reduction - Evaluate counter-party risk (eg credit scores),Other - Reduce unconscious bias Case Studies Schneider Electric ~Schneider Electric expands its potential candidate database to 275m and identifies candidates matching jobs using machine learning,Uber~Uber conducts background checks on its drivers using Checkr's AI platform,Predictim~Predictim offers trustworthy background checks for babysitters using natural language processing and computer vision Potential Vendors Checkr Industry ​ ​ Data Sets Structured / Semi-structured,Text AI Technologies Machine Learning (ML),Product Type - NLP - Text Mining,Product Type - Natural Language Processing (NLP)

< back AI Use Case Predict personalised health outcomes to recommend individual treatment approach Predict personalised health outcomes to optimise an individual's recommended treatment package. The data required to support this is often still being understood and developed. Function ​ ​ Benefits Risk reduction - Recovery rate,Risk reduction - Mortality rate,Risk reduction - Patient outcomes Case Studies Blue Cross Blue Shield~Blue Cross Blue Shield predicts individual propensity for opioid abuse with 85% accuracy to modify insurance pricing and support appropriate interventions using machine learning analytics,"Cigna~Cigna to identify at-risk patients from laboratory results and clinical diagnostic data, and offer early treatment options using machine learning",Biogen~Biogen to design individualized treatment plans for newly diagnosed patients with providers using machine learning,Banner Health ~Banner Health saves $29m in three years by helping avoid hospitalisation for patients with multiple chronic conditions by remote monitoring of vitals and analysis with machine learning ,Cornell University~Researchers at Cornell University are using deep learning to develop dental restorations with better accuracy than human eye,Anthem~Anthem aims to predict the occurrence of allergies using machine learning,Takeda Pharmaceutical Company~Takeda and ConvergeHEALTH aim to better understand how treatment-resistant depression responds to medication using deep learning models ,MIT~MIT researchers aim to make cancer treatments less toxic with machine learning,Government of Japan~Japan to automate patient information entry and some medical procedures by investing in 10 AI-powered hospitals ,PLA General Hospital~PLA General Hospital in Beijing is using an algorithm for predicting if patients will wake up from a coma,Imperial College London~Researchers develop a model to provide individualised and clinically interpretable treatment decisions to improve sepsis patients outcomes,Pharmaceutical Company~Pharmaceutical company identifies warnings for non-Hodgkin’s lymphoma patients requiring change of treatment using machine learning,University of Toronto~University of Toronto aims to early detect individuals at risk for clinical decline with the use of machine learning,Institute Gustave Roussy~Scientists at Institute Gustave Roussy predict immunotherapy efficacy in patients with machine learning,"""Zhongshan Ophthalmic Centre, Sun Yat-sen University""~Sun Yat-sen University researchers predict high myopia for young adults at clinically acceptable levels 8 years in advance",Imperial College London~Imperial College Researchers diagnose ovarian cancer patients with survival rates under 2 years,Harvard University~Researchers at Harvard University predict tuberculosis' resistance to first-line and second-line drugs with 94% accuracy and 90% accuracy using machine learning Potential Vendors Fuzzy Logix ,Prognos,Prognos,doc.ai,ASI Data Science Industry Healthcare Healthcare Providers And Services Data Sets Structured / Semi-structured AI Technologies Machine Learning (ML),ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Regression

< back AI Use Case Optimise building management including space management, health and safety Sensors and advanced analytics improve building management- - e.g. space management, health and safety Function Human Resources Health And Safety Benefits Cost - Asset uptime optimisation,Operational - Employee satisfaction,Cost - Optimise resource allocation Case Studies Skanska~Skanska identifies potential jobsite safety hazards in real-time using machine learning to automatically tag videos and photos with infractions occurring,"Gousto~Gousto, a British meal kit retailer uses genetic algorithms to optimise warehouse to determine factory layout and movement of boxes through the floor",WeWork~WeWork predicts office meeting room usage with 40% more accuracy using neural networks ,UK Registered Charity~A UK registered charity predicts visitor flow to its building with Markov chain algorithms,Heathrow~Heathrow Airport tackles delays due to bad weather with the use of AI Potential Vendors Smartvid.io,ASI Data Science Industry ​ ​ Data Sets Images,Video,Time series AI Technologies Product Type - Vision - Object detection,Machine Learning (ML),Product - Data Capture - Drones Remote Sensing,Product Type - Vision - Semantic segmentation

< back AI Use Case Predict likelihood of customer reactivation Determine the likelihood of reactivation and with what techniques. Function Marketing Customer Management Benefits Revenue - Better targeting,Revenue - Higher response rates Case Studies Paypal~PayPal improves customer churn and retention metrics with machine learning Potential Vendors H2O.ai Industry ​ ​ Data Sets Structured / Semi-structured AI Technologies Machine Learning (ML),ML Task - Prediction - Binary Classification,ML Task - Prediction - Regression

< back AI Use Case Identify and manage potentially fraudulent activity Determine whether a transaction should be blocked because it involves some kind of fraud (e.g. credit card, identity, etc.). Detect suspicious customer activity comparing to their normal behaviours and also to behavioural norms in their customer segment. Function Legal And Compliance Compliance Benefits Cost - Fraud reduction Case Studies "SMFG~SMFG, the Japanese financial services company, uses deep neural network to analyse credit card transactions and predict fraud with an 80-90% accuracy ",Paypal~Paypal keeps fraud losses at about one-third of industry average using machine learning and deep neural networks to predict whether a transaction is fraudulent or normal,AstraZeneca~AstraZeneca plans to crack down on online sale of counterfeit drugs in China using machine learning and natural language processing Potential Vendors Tencent,Alibaba Group Industry ​ ​ Data Sets Structured / Semi-structured,Time series AI Technologies Machine Learning (ML)

< back AI Use Case Automate content generation for video and image based marketing materials Automatically generate content for marketing materials Function Marketing Campaign Management Benefits Revenue - Better targeting,Revenue - Higher response rates,Revenue - Customer proposition optimisation (content) Case Studies "Press Association~Press Association generates 30,000 local news stories a month based on public open datasets and natural language generation",US Open Tennnis~US Open speeds up tennis match highlight availability on its app by 2-10 hours through automating video selection process,20th Century Fox~20th Century Fox and IBM Research reduce movie marketing production time by using machine learning to select scenes for a movie trailer ,Las Vegas Review Journal~Las Vegas Review Journal publishes 372% more video content by automatically creating videos from stories using photographs and other content using machine learning,Alibaba Group~Alibaba Group's LuBan platform automatically designs 400M online advertising banners using image processing and reinforcement learning,Yelp~Yelp optimises visual interaction with users on its web page using deep learning to auto identify cover pictures as well as classify photos from the millions of pictures uploaded by users,PGA Tour~PGA Tour aims to enhance television broadcasts of its tournament and automate content creation with AI Potential Vendors Urbs Media,IBM Watson,IBM Research,Wibbitz,Microsoft Industry ​ ​ Data Sets Text,Images,Video,Structured / Semi-structured AI Technologies Audio - Sentiment Analysis,Product Type - Vision - Object detection,Product Type - Vision - Semantic segmentation,Product Type - Vision - Instance segmentatiuon,Product Type - Vision - Face Emotion

< back AI Use Case Score and compile aggregate analyst sentiment report based on the balance of positive to negative words Compile aggregate analyst report sentiment score based on the balance of positive to negative words in written reports Function ​ ​ Benefits Revenue - Improve trading decisions (eg market demand estimates),Cost - Staff efficiency Case Studies NAM~Nomura Asset Management quantify news sources as positive or negative to aid analysts in investment decisions using natural language processing ,JPMorgan Research~JPMorgan Chase Research improves long/short performance by up to 0.5% by identifying sentiment and locating idiosyncratic risk in news items,Wells Fargo~Wells Fargo demonstrates 88% short-term and 58% longer term recommendations accuracy using machine learning to predict stock price movements Potential Vendors ​ Industry Financial Services Investment Banking And Investment Services Data Sets Text AI Technologies Product Type - NLP - Text Sentiment Analysis,Product - Optical Character Recognition (OCR),ML Task - Prediction - Annotation,Product - Translation,ML Task - Prediction - Binary Classification,ML Task - Prediction - Regression,Machine Learning (ML),Traditional AI

< back AI Use Case Automate with robo-advisor portfolio composition and rebalancing decisions and trade execution in real-time Robo-advisor automates investment and portfolio rebalancing and transactions based on defined client needs, responding to real-time market data Function ​ ​ Benefits Revenue - Speed of trading response,Cost - Job automation,Revenue - Improve trading decisions (eg market demand estimates) Case Studies JPMorgan~JPMorgan's new AI program for automatically executing equity trades in real-time out-performed current manual and automated methods in trial,Liquidnet~Liquidnet assists fund managers in decision making by analysing market and past trading data with machine learning Potential Vendors ​ Industry Financial Services Investment Banking And Investment Services Data Sets Structured / Semi-structured,Time series AI Technologies Machine Learning (ML),ML Task - Prediction - Regression,Traditional AI,Product - Chatbots,Product Type - Natural Language Processing (NLP),Model Architecture - Decision Tree