Strategy
Use Cases
Showing 34 use cases in Strategy
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Accelerate data analytics with conversational interface
Use conversational interfaces to analyse business data. The ability to ask conversational questions (e.g. "what is driving this correlation?") offers potential convenience, speed and reduced Business Intelligence costs. Will increasingly become a tool layered in to other applications / use cases.
Strategy
Accelerate data integration from multiple sources
Combine source data from different sources into meaningful and valuable information
Strategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Analyse Fleet Telematics Data at Scale for Safety and Sustainability
Freight and logisticsStrategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Analyse Health Equity Gaps with AI for Targeted Interventions
Healthcare providers and servicesStrategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Automate Market Research Survey Creation and Analysis
Consultancy and business servicesStrategy
Automate data cleansing and validation
Avoid garbage in, garbage out by ensuring quality of data with appropriate data cleaning process
Strategy
Automate preparation of data for inclusion in analytics platform
Take data from raw formats with data quality problems and develop in to a clean, ready to analyse and deploy format. This may be as simple as mismatching Excel columns or the aggregation of completely different data sources and types. Linking object IDs is key - hence human reinforcement and tagging potentially part of the data management process.
Strategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Build AI Platform for Real-Time ESG Data and Sustainability Intelligence
Strategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Build AI Product Analytics for Faster Iteration Without Large Analytics Teams
Software and IT servicesStrategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Build AI That Converts Complex Data Analysis to 30-Minute Insights
Strategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Build AI for Regulatory Technology Horizon Scanning
BankingStrategy
Collate and visualise connected data
Data visualisation typically supports better analytics and decision making - collating and standardising data from potentially multiple sources. AI will enable faster and scalable data visualisation with the potential to respond to real time issues. This will be a set of tools increasingly embedded in other applications and use cases.
R and DStrategy
Deliver personalised, real time analytics feed according to individual and team requirements
Personalised data feeds, potentially structured on a team / functional / hierarchical level will help speed up processes and decision-making. Differing organisational cultures around information-sharing will be a key issue here.
Strategy
Deliver scaled, real time, interactive analytics platform to accelerate Big Data use
Empower teams with data and tools to run advanced analyses on the business and adjacencies.
Strategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Deploy AI Education Analytics to Identify At-Risk Students at Population Scale
Education and academiaStrategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Deploy AI Research Synthesis for Government Policy Development
GovernmentStrategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Deploy AI Urban Analytics for City Planning and Infrastructure
GovernmentStrategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Deploy AI for 5G Network Planning and Spectrum Optimisation
Mobile telecommunications servicesStrategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Deploy AI for Competitive Intelligence and Market Signal Monitoring
Strategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Deploy AI for Predictive Customer Lifetime Value Modelling
Strategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Deploy AI for Real-Time ESG Data Processing and Sustainability Specialist Chatbot
Strategy
NewMon May 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Deploy Population Health AI for Risk Stratification at Health Plan Scale
Healthcare providers and servicesStrategy
Generate cloned voices
Generate cloned voice - at this stage largely for artistic, trouble-making and media purposes. This has potentially troubling implications for so-called "fake news" applications amongst many potential uses.
Strategy
Optimise distribution network cost effectiveness
Optimise distribution network cost effectiveness (balancing capital and operating expenditure). Factors include route mapping, load balancing, capacity and demand analysis. Complicating issues may include weather and other exogenous factors.
Strategy
Predict appropriate data labelling to support data analytics work
Unless using unsupervised learning systems, high quality labeled data is critical. Labelling data minimises the risks inherent in using it. This can potentially be part-automated.
Strategy
All Strategy AI Use Cases
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