Strategy
Use Cases
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Accelerate data analytics with conversational interfaceAccelerate data integration from multiple sourcesAlerting and diagnostics from real time patient dataAllocate access to public goods such as healthcare for individualsAnalyse biomarkers such as genes for medical potentialAnalyse body or breath odour to diagnose potential diseaseAnalyse call content post-callAnalyse credit risk of individual customersAnalyse legal documents and extract important data points and clausesAnalyse market basket information to optimise cross-selling and upsellAssess building damage from weather or natural disasters with drones and satellite delivered imageryAssisted or automated diagnosis and prescriptionAugment traffic control processes at (air)portsAutogenerate captioning on video or audio filesAutomate aircraft pilotingAutomate building systems to reduce energy costs through AI powered adaptive temperature and energy controlAutomate coding of treatments for billing and administrationAutomate contract due diligenceAutomate control decisions in control room environments to reduce cost and human errorAutomate data cleansing and validationAutomate discovery of compliance status against GDPR regulation or similar data legislationAutomate inventory management for productsAutomate investment decisions without human interventionAutomate legal research through search and referencing of documentationAutomate preparation of data for inclusion in analytics platformAutomate project management to monitor progress and identify risksAutomate software coding, testing and production deploymentAutomate software testing as part of pre-launch / update processAutomate through a robo-advisor client portfolio investments and rebalancing recommendations based on defined investment strategiesCollate and evaluate site data for architectural planningCollate and visualise connected dataConstruct detailed map of farm characteristics based on aerial image captureDeliver a speech recognition library-SDK-API to support developersDeliver anticipatory logistics through demand forecastDeliver marketing optimised for contextual settingDeliver personalised, real time analytics feed according to individual and team requirementsDeliver scaled, real time, interactive analytics platform to accelerate Big Data useDeploy robots to replace human staffDetect anomalies in software stacks prior to deploymentDetect potentially fraudulent or nefarious usersDevelop enhanced or new insurance proposition based on monitoring actual behavioursDiagnose injury like brain trauma from visual scansDiagnose known diseases from scans, images, biopsies, audio and other dataDiscover new complex interactions in the financial system to support better risk modelling and stress testingDiscover new trends in content consumption patternsEnhance agricultural insurance through prediction of plant health and crop yields with drones and AIEnhance customer underwriting risk predictionsEnhance insurance customer fraud detection by assessing behavioural dataEnhance life insurance by improving life expectancy prediction and underwriting risk by analysing selfiesEnhance product and service offeringEnsure inventory availability by predicting demand and triggering appropriate actionEvaluate customer credit risk using application and other relevant data for faster and more efficient decisionsEvaluate investment opportunities in early stage companiesExamine ground composition to reduce required volume of exploratory drilling for samplesForecast asset pricing based on market patternsForecast new product demandForecast product / service demand levelsGenerate actionable analytics from sales callsGenerate cloned voicesGenerate research for news contentIdentify and model customer segmentsIdentify fraud, waste, and abuse patterns from clinical and operations dataIdentify health insurance claims that were inappropriately denied by insurance companiesIdentify potential medical insurance fraudIdentify risk of disease via real time sensorsIdentify risk of hospital acquired infections such as sepsisIdentify with satellite imagery areas of need for targeted supportIdentifying new customer growth segments and opportunitiesImprove weather forecasting accuracyImproving construction process quality by detecting errorLeverage a Natural Language Processing library-SDK-API to support developersLeverage a deep learning library-SDK-API to support developersLeverage an image recognition library-SDK-API to support developersLeverage molecule database with metabolic stability data to elucidate new stable structuresManage agricultural production yield by resource optimisationManage premium and risk pricing for underwritingMatch patients with the right doctor for insurance purposesModel and predict customer lifetime valueModel city-wide process flows and cross-departmental outcomesMonitor animal populationsMonitor potential threats across battle spaceOptimise agricultural production process often in real timeOptimise building management including space management, health and safetyOptimise crop or livestock yield management based on field sensorsOptimise distribution network cost effectivenessOptimise driver or pilot choices and path routing to reduce length, cost or environmental impact of tripOptimise extraction plans based on data including drilling samples and performance at historic and comparable sitesOptimise field network performanceOptimise greenhouse climate environment to maximise production outputOptimise live inventory management and dynamic pricingOptimise maintenance schedulingOptimise maintenance, repair, and operations parts and equipment inventoryOptimise merchandising product mixOptimise mine plans based on data such as drilling samples or historic and comparable site performanceOptimise mobile job schedulingOptimise product pricing to improve yield managementOptimise public policy decisions to take into account a greater set of complex interactionsOptimise public resource allocation for urban development to improve quality of lifeOptimise quality of service and product deliveryOptimise resource allocation in research and development process
Strategy Case Studies
''Rooms to go'' uses Machine Learning to offer tailored add-on options to customersANZ bank identifies high risk loans and predicts customer defaults with deep learningARUP saves 790 engineering hours using machine learning to detect utility clash points planning a light rail system for AucklandASOS.com researchers demonstrate improved customer lifetime value predictions using neural networks and automatic feature selection but do not advise implementation due to increased costAXA used deep neural networks to increase the predictability of a customer large traffic accident from 40% to 78%Adobe Research team investigates current approaches in machine learning for automating data cleansing and finds them inadequateeAlliance Boots achieves inventory savings and improved service levels with machine learning optimisation algorithmAn anonymous global insurance company analysed customer contact recordings and claims data to drive sales yields using natural language processingAustralian Renewable Energy Agency improved accuracy of solar energy predictions by 31% using machine learning methods based on a distributed networkBHP saves $5.5M by predicting mining truck maintenance requirements with machine learningBP reduces methane emissions by 74% and increases production volume by 20% by optimising oilfield well valve functions with AI modellingBaillie Gifford investigates the potential of AI to improve efficiencies through automating fund manager''s tasksBankMobile approves loans for young banking customers based on non-traditional data measures using Upstart''s machine learningBig River Steel is predicting the availability of scrap steel using a predictive AI engineBig River Steel makes more accurate demand predictions using machine learningBig River Steel optimises production and minimises unplanned events in the production process process with machine learningBig River Steel predicts and optimises the maintenance of its machinery and equipment using machine learning.BlackRock chooses investment opportunities to add to its portfolio based on AI recommendationsBlueDot identified Wuhan pneumonia outbreak from social media posts before WHO made public announcement on COVID-19Bonanza Creek Energy avoids production shutdown and fines by anticipating when certain emissions are going to occur using a machine learning systemBoston Public Schools''s plan to reconfigure start times for high school students using an optimisation algorithm backfiresBranch grants loans to app users based on alternative data including contacts, social media, and call history and machine learning to assess credit riskCAS reduces time spent on contract analysis for Brexit implications by 75% using a machine learning platformCambridge Analytica claims to have targeted voters by modelling voter propensity to persuasion through a variety of emotional state approachesCargoMetrics analyses satellite shipping imagery and plans to to identify investment opportunities based on the data with machine learningCaseCrunch''s AI program demonstrates greater accuracy predicting the outcomes of historic PPI cases than human lawyersCastle Ridge Asset Management identifies and rebalances portfolio investments among diverse asset classes using machine learningChinese Government hopes to improve decision support to diplomats working on Bridge and Belt initiative through investment in AI toolsCity of Redwood City improves parking occupancy utilisation by 250% and optimises revenue using machine visionColumbia Business School researchers determine that unusual language in news stories can forecast future market stress through natural language processingConnecterra increases dairy production by as much as 30% by tracking and analysing the health of cows with machine learningDM drugstores optimises shift planing in retail stores using advanced prediction modellingDanone reduces forecast error and lost sales by 20 and 30 percent respectively and achieves a 10 point ROI improvement in promotions with machine learningDanske Bank plans to determine liquidity risk using Bloomberg''s machine learning product LQADeutsche Bank implements AI trading platform for predicting equity prices and volumeDeveron is a vendor offering technology for crops counting and yield measuring leveraging drones and machine learningDialogue to optimise emergency rooms triage at Centre hospitalier de l''Université de Montréal (CHUM) using AIDidi to tackle traffic congestion and optimise navigation routes with deep learningFICO reduces bank''s losses on delinquent customers by up to 25% with machine learning that predicts consumer credit riskFord Credit improves customer loan risk predictions over traditional credit risk scoring using machine learningFormula 1 aims at achieving smarter project management and streamlining the R&D process with the use of machine learningFox predicts likelihood of watching movies at theatres based on trailers with machine learningFrance Telecom''s Telekomunikacja Polksa realised that certain customers have a greater or lesser influences on networks of mobile phones users. If highly connected networkers churn then this is likely to cause a large ripple effect. To improve customer churn prediction and identification of who to retain they developed social graphs and analysis based on the transaction history and network connections of customers. This allowed them to improve prediction by 47%.Freeport-McMoRan improves rock face assessment for better planning of steep blasting mining using dronesFreshfields Bruckhaus Deringer identifies discrepancies in rent contract documents and collections during real estate investment due dilligence using automated contract analysisFukoku Mutual Life Insurance expects to save $1.2m a year from salaries by replacing 34 employees with an AI system that calculates insurance payouts.GV evaluates new and follow-on investments using machine learningGoldcorp plans to increase accuracy of identifying potential mining prospecting areas using IBM Watson and machine learning to analyse drilling and geological dataGoldman Sachs unsuccessfully predicted participants of the World Cup 2018 finals by crunching team data with machine learningGoogle drove a 15% reduction in power usage effectiveness overhead in cooling their data centres through advanced reinforcement ensemble machine learningGoogle predicts river floods and their severity using AI based forecasting modelsH&M improve single store sales by improving inventory planning through machine learning to discover trends on social mediaH&R Block improves filing acceptance rates by 10% by monitoring the performance of its online tax filing application and user experience using machine learningH2O.ai to offer interpretable ready-to-deploy deep learning and machine learning algorithms for enterprises to enable a faster transition to AIHarvard university seismologists developed a deep learning algorithm to predict the location of aftershocks with an AUC of .849HealthMap analyses social media and publicly available healthcare data to detect and predict outbreaks around the globeHitachi conducted an on-site demonstration of a warehouse management system equipped with its AI technology where results showed efficiency improvement in logistics tasksHuawei launches operating system for smart cities using AIIBM launches Equipment Maintenance Assistant to predict equipment maintenance requirements and aid technicians in diagnosis and repair using machine learningICRISAT and Microsoft enable Indian farmers to achieve up to 30% higher yields at trial through machine learning advice on when to sow cropsImagen Tech''s Osteodetect platform which uses deep learning to detect wrist fractures has acquired FDA approvalIntel proposes an automated and proactive healthcare platform to analyse data from wearable devicesIsrael Institute of Technology researchers are developing a nano-array to automatically diagnose a number of diseases from exhaled breathJPMorgan reduced lawyers'' hours by 360,000 annually by automating loan agreement analysis with machine learning software COINJerrit Canyon Gold identifies high prospectability areas using Goldspot Discoveries'' machine learning geological modelJohn Lewis improves shopping experience by keeping track of customer purchase patterns to predict inventory and tailor offers for individual customers with machine learningJohns Hopkins Hospital improves patient monitoring and resource allocation in ER and critical care units in real-time using machine learningKaiser Parmanente increases construction labour productivity by 38% and saves 11% from the initial construction budget with machine vision and analyticsKaiser Permanente predicts probability of rapid deterioration of patient condition and alerts physicians using machine learningKingston Smith automates financial auditing by analysing transaction data against users and vendors and identify risk using machine learningKorean Air reduces maintenance defect history analysis lead times by 90% and improves on-time performance with machine learning and natural language processingKreditech determines credit worthiness of thin file customers by analysing the way they use internet, social media data, location data and past behaviour, using machine learningLapetus is tests a platform to assess smoking status and other health indicators using selfies for insurance purposesLeasePlan, a vehicle management group in the UK, simulates different models to see cost distribution across various dimensions to decide which changes are optimalLennox improves service levels by 16% and increases inventory turns by 25% with machine learning powered demand predictionsLobe is a visual tool that can be used to build custom deep learning models without writing any codeMS & AD Insurance Group detects 2.5 times more fraudulent claims than industry average using machine learningMan Group extends AI models to four large funds for predicting financial market pricing and riskMaria Fareri Children''s Hospital deploys a diagnosis platform using NLP and algorithmic search to assist physicians with difficult to diagnose symptomsMayo Clinic researchers accurately diagnose hyperkalemia using a smartphone electrocardiogram deviceMercy Hospital Fort Smith improves patient flow and throughput in the ER to improves LWBS rates by over 30% using machine learningMicrosoft trials AI to analyse strategic partners contractsMonta Vista High School students build a model to predict wildfires using Google TensorflowMoody''s Analytics find loan risk prediction is improved using AI models over its proprietary RiskCalc modelNCI designated cancer centers reduces time to treatment for diagnosed patients by 5 days using machine learning and natural language processingNHS investigates whether inflammation plays a role in mental illnesses by extracting blood test results from unstructured medical records with advanced natural language processingNatividad Medical Center reduces time to see doctor by 20% and left without being seen rates by 42% by optimising patient flow and resource allocation in ERNeopost identifies customers at risk of churn with machine learning using PredicSisNew York is estimating street volumes and understanding how street design can reduce injuries using predictive algorithmsNordstrom offers multi-channel services to customers while proactively monitoring performance and customer activity across channels with AI enabled analyticsOpen Agriculture Initiative identifies optimal growing conditions and correlations for optimising basil flavour using machine learningOrbital Insight identifies 4x more crude oil tanks in China than the official number by analysing satellite imageryOrigin achieved 80% accuracy in identifying low production wells and $50M in savings using machine learning applications from C3 IoTOrlando Health pilots platform to identify patterns in denied health insurance claims to recover payments and avoid future denialsOtto predicts with 90% accuracy what products will be sold within 30 days driving automated purchasing and reduction of annual returns by 2MOtto reduces the rate of product returns by predicting sales for the next three months with 90% accuracy using machine learning to understand consumer preferencesOverbond predicts yields for new bond issues with less than 0.02 percentage point inaccuracy by using machine learningPandora plans to predict artist success rates and identify effective marketing strategies using machine learningPeptone accelerates protein research for drug discovery with a machine learning derived databasePharmaceutical company identifies warnings for non-Hodgkin’s lymphoma patients requiring change of treatment using machine learning