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< back AI Use Case Predict local and regional sales and demand trends Predict local or regional sales and demand trends using up to date (with the ambition being real-time) data Function Marketing Marketing Research Planning Benefits Operational Support - Demand forecasting,Operational Support - Sales forecasting,Operational Support - Production forecasting Case Studies Kiabi~Kiabi increases in-store product availability by 7% by optimising supply chain management with machine learning,Otto~Otto reduces the rate of product returns by predicting sales for the next three months with 90% accuracy using machine learning to understand consumer preferences Potential Vendors Infor,Blue Yonder Industry ​ ​ Data Sets Time series AI Technologies Machine Learning (ML)

< back AI Use Case Create tailored emails Emails that are tailored to individual behaviour Function Marketing Digital Marketing Benefits Cost - Job automation,Operational - Service / outcome scaling Case Studies Virgin Holidays~Virgin Holidays increased email open rates by 2 percentage points by automating their composition and testing ,Caesars Entertainment~Caesars Entertainment improves email open rates by 12% and click-throughs by 24% by personalising content using deep learning,Morgan Stanley~Morgan Stanley automates composition of reassuring emails for clients when adverse financial events occur,Stonewall Kitchen~Stonewall Kitchen improved email open and conversion rates by 10 and 4% respectively through predictive modelling,"Orlando Magic~Orlando Magic automatically generates personalised in-app and email messages to each one of their fans, boosting season ticket renewals","Google~Google's Gmail automated composition feature has led to 10% of English language replies being machine written and human approved, speeding up email composition" Potential Vendors Phrasee,Persado,Salesforce,Salesforce Industry ​ ​ Data Sets Text,Structured / Semi-structured AI Technologies Traditional AI,Machine Learning (ML),Product Type - Natural Language Processing (NLP),ML Task - Prediction - Generation

< back AI Use Case Predict future employee performance Using historic performance data (typically personal and comparable cohort), skills learnt and exhibited and forward looking information on likely organisational skills or resource requirements to predict potential future performance of individuals. This can potentially be used to support resource planning - and could potentially open the organisation to legal risks (depending on implementation; e.g. should this be used to drive compensation). Function Human Resources Employee Relations Benefits Operational - Employee satisfaction,Operational - Staff development Case Studies IBM~IBM bases employee reviews on not only past performance but on 96% accurate predictions of future performance using machine learning models Potential Vendors IBM Watson Industry ​ ​ Data Sets Structured / Semi-structured,Text AI Technologies Traditional AI,Machine Learning (ML),ML Task - Prediction - Binary Classification,ML Task - Prediction - Regression

< back AI Use Case Analyse body or breath odour to diagnose potential disease Analyse body or breath odour to diagnose potential disease. Sensitive tools can be used to capture and then analyse odours which are beyond the range of the human olefactory system. Function ​ ​ Benefits Risk reduction - Predictive diagnosis Case Studies Israel Institute of Technology~Israel Institute of Technology researchers are developing a nano-array to automatically diagnose a number of diseases from exhaled breath Potential Vendors ​ Industry Healthcare Healthcare Providers And Services Data Sets Structured / Semi-structured AI Technologies Machine Learning (ML),ML Task - Prediction - Multi-class Classification,ML Task - Grouping - Clustering

< back AI Use Case Re-examine data from historic research to discover new applications Re-examine data from historic research to discover new applications. Traditional methods may not have captured all the complexity that AI can parse - or the data may indicate that new techniques and technology would be applicable to the data. Function ​ ​ Benefits Revenue - New product,Operational Support - Issue / outlier ID Case Studies GlaxoSmithKline~GlaxoSmithKline (GSK) plans to reduce drug discovery to trial time from six years to 12 months using machine learning models to predict molecular behaviour,Netherlands National Police~Netherlands police prioritises which cold cases merit further investigation using DNA new testing techniques through AI analysis ,Centers for Medicare & Medicaid Services (CMS)~The CMS Measure Development reduced research time from months to moments through machine learning and natural language processing,University of California San Francisco~University of California San Francisco researchers use principal component analysis to compare medical treatment outcomes across different studies,University of Cambridge~Cambridge researchers develop a system to analyse cancer research papers to discover previously unexplored molecular biology links ,National Institute for Materials Science Japan~Researchers from the National Institute for Materials Science Japan automate creation of knowledge graphs regarding the materials design process using natural language processing Potential Vendors Battelle Industry Healthcare Pharmaceuticals And Biotech Data Sets Structured / Semi-structured AI Technologies Traditional AI,ML Task - Prediction - Regression,Machine Learning (ML),Model Architecture - Deep Neural Networks,Model Architecture - Artificial Neural Network (ANN),Product Type - Natural Language Processing (NLP),ML Task - Prediction - Data Translation/Transformation,Product Type - NLP - Text Entity Extraction

< back AI Use Case Triage patient cases during hospital admission Provide support for medical teams to triage incoming patients relative to their medical symptoms and history and personal situation. Data used may include audio, video, comparable, historic and real-time data. Function ​ ​ Benefits Operational Support - Issue triage,Risk reduction - Patient outcomes,Cost - Staff efficiency Case Studies Johns Hopkins Hospital~Johns Hopkins Hospital improves patient monitoring and resource allocation in ER and critical care units in real-time using machine learning,MetroHealth~MetroHealth predicts patient flow to improve operational decision making using machine learning ,Government of Japan~Japan to automate patient information entry and some medical procedures by investing in 10 AI-powered hospitals ,Dialogue~Dialogue to optimise emergency rooms triage at Centre hospitalier de l'Université de Montréal (CHUM) using AI ,King's College London~King's College London researchers automate real-time triage of X-ray radiograph reports with high accuracy Potential Vendors GE Healthcare,Qventus,DXA Technologies Industry Healthcare Healthcare Providers And Services Data Sets Audio,Video,Structured / Semi-structured,Time series AI Technologies Machine Learning (ML),Traditional AI,ML Task - Prediction - Regression,ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification

< back AI Use Case Identify fraud, waste, and abuse patterns from clinical and operations data Identify fraud, waste, and abuse patterns from a variety of clinical operations data. This would typically occur at a cross-functional level, but could be at an individual, operating unit or institutional level. Function ​ ​ Benefits Cost - Reduce wastage,Cost - Fraud reduction Case Studies Sheba Medical Center~Sheba Medical Center ensures accuracy of prescriptions and eliminates human error using machine learning Potential Vendors ​ Industry Healthcare Healthcare Providers And Services Data Sets Structured / Semi-structured,Images AI Technologies ML Task - Grouping - Anomaly Detection,Machine Learning (ML)

< back AI Use Case Enhance agricultural insurance through prediction of plant health and crop yields with drones and AI Use geo-data gathered from multiple image sources (satellites, drones etc) and use Machine learning to assess potential agricultural outcomes. AI enables frequent model updates based on new risk assessments as they occur. Function ​ ​ Benefits Risk reduction - Evaluate counter-party risk (eg credit scores) Case Studies Deveron UAS Corp.~Deveron is a vendor offering technology for crops counting and yield measuring leveraging drones and machine learning Potential Vendors Raptor Maps Industry Financial Services Insurance Data Sets Images,Video,Time series AI Technologies Machine Learning (ML),ML Task - Prediction - Regression,ML Task - Prediction - Annotation,ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Binary Classification

< back AI Use Case Manage premium and risk pricing for underwriting Optimise premiums and risks by granular understanding of the individuals and their propensity to claim. Function Legal And Compliance Compliance Benefits Cost - Fraud reduction,Revenue - Pricing optimisation Case Studies Aviva~Aviva offers up to 30% discounts on insurance premiums based on actual driving behaviour that is monitored and analysed through machine learning,AXA~AXA used deep neural networks to increase the predictability of a customer large traffic accident from 40% to 78%,Allstate~Allstate is offering pay-as-you-drive plans based on measurement and analysis of customer real-time driving behaviour resulting in up to 30% reduction in premiums,QBE Insurance Group ~QBE group plans to measure risk at individual level to calculate optimum premium price using machine learning Potential Vendors Google,Cytora Industry Financial Services Insurance Data Sets Structured / Semi-structured AI Technologies Traditional AI,Machine Learning (ML),ML Task - Grouping - Clustering,ML Task - Prediction - Regression,ML Task - Prediction - Binary Classification

< back AI Use Case Automate assessment of claim through accessing photographic data Automatically assess claim through accessing visuals of claimed damage. This might be ground or aerially sourced. Function ​ ​ Benefits Cost - Fraud reduction,Cost - Job automation,Operational Support - Issue triage Case Studies TensorFlight~TensorFlight assists with commercial property insurance evaluation using computer vision to investigate building properties Potential Vendors ​ Industry Financial Services Insurance Data Sets Images AI Technologies Product - Data Capture - Plane and Satellite Imagery,Product - Data Capture - Drones Remote Sensing,Product Type - Vision - Image classification,ML Task - Prediction - Annotation,ML Task - Prediction - Binary Classification,Machine Learning (ML),Model Architecture - Convolutional Neural Network (CNN)

< back AI Use Case Construct detailed map of farm characteristics based on aerial image capture Construct detailed map of farm characteristics based on aerial video or image capture. This can be of assistance for a series of tasks ranging from planning to valuation to deployment of automated farming tools. Function ​ ​ Benefits Operational Support - Situational awareness,Cost - Optimise geographic footprint Case Studies McCain Foods~McCain will test Resson's image recognition algorithms for crop condition monitoring to optimise potato yields and reduce costs,Deveron UAS Corp.~Deveron is a vendor offering technology for crops counting and yield measuring leveraging drones and machine learning,Dancing Crow Farm~Farmers are able to quickly identify issues such as crop stress and disease and pest infestation on heatmaps enabled by drones and machine learning,University of California Merced~Researchers at UC Merced train algorithm to create ground-level images from satellite pictures outperforming conventional interpolation method used for classifying land,Stanford University~Researchers at Stanford University aim to detect illegal polluting from farms using a convolutional neural network Potential Vendors Resson,Raptor Maps,Microsoft Azure Industry Basic Materials Agriculture Data Sets Images AI Technologies Machine Learning (ML),ML Task - Prediction - Multi-class Classification,Product Type - Vision ,Product - Data Capture - Drones Remote Sensing,Product - Data Capture - Plane and Satellite Imagery,ML Task - Prediction - Regression,Model Architecture - Convolutional Neural Network (CNN),Model Architecture - Recurrent Neural Network (RNN),ML Task - Prediction - Annotation,Product Type - Vision - Image classification,ML Task - Prediction - Data Translation/Transformation

< back AI Use Case Predict risk of churn for individual B2B clients and recommend targeted intervention strategy Predict risk of churn for individual customers or clients and recommend intervention strategy - this may be involuntary (ie due to bankruptcy) or voluntary (ie switching accounts) churn Function Customer Service Account Management Benefits Revenue - Churn risk reduction,Operational Support - Issue triage Case Studies ​ Potential Vendors ​ Industry ​ ​ Data Sets Structured / Semi-structured AI Technologies Machine Learning (ML),Algorithm - Ensemble Learning,Model Architecture - Deep Neural Networks,Model Architecture - Decision Tree,ML Task - Prediction - Regression,ML Task - Prediction - Binary Classification,ML Task - Grouping - Clustering,Traditional AI