Risk
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All Risk AI Use Cases
Accelerate claims processing by automating processesAccelerate data integration from multiple sourcesAccelerate identity verification for new and existing customersAnalyse credit risk of individual customersAssess asset valuations in financial marketsAssess building damage from weather or natural disasters with drones and satellite delivered imageryAutomate background checking for potential employeesAutomate code breakingAutomate community management by monitoring online discussions and flagging abuseAutomate credit risk profiling to support fundraising by small businesses through crowdfunding platformAutomate cybersecurity systemsAutomate discovery of compliance status against GDPR regulation or similar data legislationAutomate driving with self-driving vehiclesAutomate flagging and/or removal of user generated and uploaded media contentAutomate key tasks to support human driverAutomate operation of military installations e.g. sentry gunsAutomate point of saleAutomate testing of web applications and apps as part of continuous developmentCensor user generated content on social media and other platformsCollate and visualise connected dataConfirm animal identity through eye scansDetect fake biometric credentialsDetect invoice redirection fraudDetect manipulated or falsified mediaDetect potential insider trading through monitoring data flowsDetect potentially fraudulent or nefarious usersDetect suspicious nautical vessel activity indicating overfishing or smugglingDetermine treasury or currency risk situationDetermining threshold level at which to flag compliance risksDiscover new complex interactions in the financial system to support better risk modelling and stress testingEnhance customer underwriting risk predictionsEnhance insurance customer fraud detection by assessing behavioural dataEvaluate customer credit risk using application and other relevant data for faster and more efficient decisionsEvaluate where brand is appearing to check for inappropriate usage and placementForecast asset pricing based on market patternsIdentify and incentivise influencer and net promoter networksIdentify and manage potentially fraudulent activityIdentify and navigate roads and obstructions in real time for autonomous drivingIdentify concealed weapons with radarIdentify fraudulent activity using unusual payment transaction patterns and other dataIdentify fraudulent customer claims for transportation delaysIdentify health insurance claims that were inappropriately denied by insurance companiesIdentify illegal or inappropriate images on devices confiscated by the policeIdentify individual''s activity likely to result in accidentsIdentify items of concern in the mailIdentify performance and risk for employee drivers through driving patterns and other dataIdentify performance and risk for pilots through flying patterns and other dataIdentify persons of interest to law enforcement through facial recognitionIdentify physical properties of scanned imagesIdentify potential fraud from utility consumersIdentify security-related individual targets from range of data including sensors, camera feeds and suspect activityIdentify social media users through cross platform facial recognition to deploy phishing or marketingIntegrate security systems at public entertainment venues such as sports stadiumsLower the loss ratio for insurance companies through portfolio managementManage cybersecurity threats and regulatory reportingMap communications across the organisation to improve team productivityMonitor and analyse interactions with customers to flag compliance risksMonitor animal populationsMonitor employee communication to identify key topics of internal conversationsMonitor potential threats across battle spaceMonitor transport fleet networks in real time to ensure safety of passengers and driversMonitor travellers for immigration controlMonitor vital signs through CCTV to detect abnormalitiesMonitoring voice calls by traders to test for signs of wrong-doingOptimise public policy decisions to take into account a greater set of complex interactionsPersonalise public services to target individual citizens depending on situationPilot military vehicles - on land, sea, air and spacePredict and drive customer retention and churn managementPredict hazardous locations and establishments based on open source dataPredict likelihood of recividism or criminal activity on an individual basisPredict likelihood of traffic accidents or queues and optimise traffic system to reduce the riskPredict population health patternsPredict potential risks in financial audit processPredict risk from natural disasters such as wildfiresPredict risk of loan delinquency for existing customers and recommend proactive handling strategiesProtect individual''s privacy from AI driven image recognitionRecognise and categorise type of damage to predict insurance claim valuation through accessing photographic dataReview documents and information to support insurance claim processing and identify potential issuesScore and compile aggregate analyst sentiment report based on the balance of positive to negative wordsSearch for and challenge inbuilt bias in algorithmsStreamline airport passenger processes with facial recognition technologyStress test biometric seurity systemsTrack and predict risk of likely criminal activity by individualsVerify age through facial recognition technologyVisualise and recognise road layout, other vehicles and pedestrians and potential risks to empower predictive driving
Risk Case Studies
ANZ bank identifies high risk loans and predicts customer defaults with deep learningAdobe is developing technology to detect manipulation in images using a deep neural networkAmerican Express Australia used machine learning to identify 24% of customer accounts that would close within four months allowing them to take preventative save actionsAmerican Express identifies $2 billion in potential annual incremental fraud incidents with machine learningAn Anonymous UK Insurance firm demonstrates that it can better assess the risk of insuring companies by automatically determining relevant UK court cases with deep neural networksBaltimore Gas and Electric generated $2.8 million in economic benefit from identifying fraud and unbilled energy usage with machine learningBeijing Police identify people by their walking gait from up to 50 metres awayBerkeley Lab to use deep learning to analyse alternate data sources for more accurate predictions of air qualityCCC Information Services predicts repair requirements from vehicle collision photos using AIChime decreases basis point loss by 40% using a machine learning fraud detection platformChina''s Hangzhou No. 11 Middle School monitors students through facial recognition camerasChinese authorities trial facial recognition technology to identify parallel traders at Hong Kong-Shenzhen borderChoozle announces partnership with Oracle''s Grapeshot to determine optimal online ad placement and ensure brand safety using AICincinnati Children’s Hospital Medical Centre predicted at expert-level 91% accuracy which students are at higher risk of perpetrating school violence using machine learning on interview scoresCiti reduced cost, time and reliability issues in the delivery of the complex stress test models needed for regulatory compliance through deploying ML to support the processClearbank combats fraud and money laundering with the use of machine learningDanish Danske Bank increases payment fraud detection by 60% and reduces false positives by 50% with machine learningDankse Bank identifies fraudulent online banking customers with 99.7% accuracy in a pilot with the BehavioSec behavioural biometrics systemDanske Bank prevents card fraud with the use of machine learningDirect Line Insurance uses machine learning to automatically flag fraudulent claims in automotive section with 75% hit rateDrivers demonstrate Tesla''s Autopilot limitations in recreation of fatal Model X crash at exact same locationDutch police plan to use machine learning to detect illegal substances sent in the mail based on X-raysEarthport Payment Network reduces false positives of automated suspicious transaction detection using AML risk data in real-timeElections Canada plans to use AI to identify electoral misinformation campaigns on social mediaEnel improved the average energy recovered per non-technical loss inspection by 70% in Italy and more than 300% in Spain using machine learningEnigma Pattern cracked the German WW2 Enigma code in just under 13 minutes by recognising German language patternsFICO reduces bank''s losses on delinquent customers by up to 25% with machine learning that predicts consumer credit riskFacebook and CrowdAI researchers develop a machine learning method to identify geographic areas heavily affected by natural disastersFacebook is trying to combat misinformation in the site’s news feed with machine learningFord Credit improves customer loan risk predictions over traditional credit risk scoring using machine learningFunding Circle provides the only access to finance for 21% of its SME users SMEs by using machine learning in loan underwritingGoogle predicts river floods and their severity using AI based forecasting modelsGovTech Singapore to instal facial recognition technology to 110,00 public lamppostsHM Prison Service trials facial recognition to identify visitors and reduce contrabandHSBC reduces false positives for money laundering detection by 20% using AI to automate the system rulesHanwha Aerospace supply Korean military with SGR-A1 autonomous sentry gun to protect their border with North KoreaHolvi reduces time spent investigating false positives for customer risk using AI platform ComplyAdvantageHomeland Security tests facial recognition technology around the White HouseInfinity Property & Casualty processes claims 35% faster by developing a solution to flag potentially fraudulent claims using machine learningInfluential assesses suitability of social media influencers for use in marketing campaigns by analysing social media content using natural language processingJPMorgan Chase Research improves long/short performance by up to 0.5% by identifying sentiment and locating idiosyncratic risk in news itemsKeenCorp plans to gauge employee engagement and impact of changes by analysing internal emails using natural language processingKingston Smith automates financial auditing by analysing transaction data against users and vendors and identify risk using machine learningLondon Metropolitan Police plan automatically detecting illegal and inappropriate material on confiscated devicesLyft delivered a 40% increase in potentially fraudulent users detected without increasing false positives by using neural networksMS & 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 riskMcCann Fitzgerald reduces number of documents for review by 99% for GDPR compliance through its app which automates assessmentMonzo decreased pre-paid card fraud to 0.1% and false positive rate to 25% using machine learningMoody''s Analytics find loan risk prediction is improved using AI models over its proprietary RiskCalc modelNYPD has made 2,878 arrests in five years using facial recognition technologyNasdaq enhances conduct surveillance to ensure compliance and transparency to achieve 250% increase in detection acuity using natural language processing and machine learningNasdaq purchases AI software company Sybenetix to monitor and flag unusual trader activity using AINatWest Bank prevents over £7m worth of corporate fraud by using machine learning to detect suspicious invoice payment activityNational Grid is testing machine learning to automate assessment of electrical grid infrastructure using dronesNew Delhi Police plans to manage traffic in the city using camera sensors and machine learningNew Delhi Police reunites 2900 children who were in temporary care institutions with their families using facial recognitionNew York Times increases article commenting capacity by 3x using machine learning to automatically flag inappropriate content for moderator reviewOCBC bank reduces number of false positive financial transaction alerts by 35% with machine learningOne concern optimises emergency crews distribution during natural disasters with machine learningOrlando Health pilots platform to identify patterns in denied health insurance claims to recover payments and avoid future denialsOrlando Police Department cross-references faces against persons of interest in a pilot use of facial recognition technologyPatriot One are developing concealed weapon identification from deploying machine learning on radar-generated imagesPaypal 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 normalPentagon research project to build threat warning system to counter North Korean nuclear programme.Predictim offers trustworthy background checks for babysitters using natural language processing and computer visionRBS identifies invoice fraud saving £7 million of losses to customers with artificial intelligenceResearchers detect restaurants with elevated risk of foodborne illness in real time using machine learningResearchers generate fake fingerprints using neural networks and successfully trick fingerprint matching security systemsRevolut reduces bank card fraud using machine learning to detect anomaliesRyanair monitors the performance of its online service in real time and identifies root cause of issues in minutes compared to hours previously using machine learningSMFG, the Japanese financial services company, uses deep neural network to analyse credit card transactions and predict fraud with an 80-90% accuracyServizi in Rete detects cyber-security threats in real-time using unsupervised machine learning to classify every action in the networkSingapore''s Changi airport aims to speed passengers through its facility with facial recognitionSmiths Detection detects lithium-ion batteries in airport luggage using deep learningStandard Cognition aims to predict and prevent shoplifting in supermarkets using machine visionTensorFlight automates property inspection for underwriting, reinsurance and risk assessment with deep machine vision analysis of aerial imageryTesco and other UK supermarket to verify alcohol buyers'' age using facial recognition technologyThe 2020 Tokyo Olympic and Paralympic Games will implement facial recognition to allow access to venues for athletes, media and other personnelThe British Army is operating an unmanned air vehicle which is able to take-off, fly and land autonomouslyThe EU to pilot automated border-control system to enhance security at bordersThe Government of Canada plans to algorithmically scan the internet for data on public perceptions of cannabis use and related behavioursThe Government of Zimbabwe to leverage facial recognition technology for security purposes and building a national image databaseThe Motor Vehicles Department in Kerala detects lack of seatbelt or helmet usage in motor vehicles in with 98% accuracy in trialThe Rose Bowl stadium featured a facial recognition technology to track Taylor Swift''s stalkers during her concertThe SEC''s Division of Economic and Risk Analysis identifies potentially fraudulent activity through analysing regulatory filings by using machine learning and natural language processingThe US Department of Homeland Security plans to pilot identifying travellers leaving the United States via automobile using a facial recognition systemThe US Department of Homeland Security to enhance security at borders through facial biometric technologyThe Zoological Society of London is preventing poaching with machine vision and machine learningThe identifies impostors at airports with facial recognition technologyThrivent Financial attracts 250% more visitors to their website and acquires 22% more customers using HearsayTrustwave launches tool to automate social media profile matching using facial recognitionUK 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 learningUS Army test computer vision for an enemy infrastructure recognition system in real-timeUS Department of Homeland Security has tested identifying illegal immigrants with lie-detecting computer kiosks equipped with artificial intelligenceUber conducts background checks on its drivers using Checkr''s AI platformUber''s self driving car failed to visualise and recognise a pedestrian and the potential risk in real-time resulting in a fatal accidentUniversity of Southern California researchers predict risk of violent protest with a Twitter-based modelUniversity of Toronto researchers have developed an algorithm that makes facial recognitions systems misclassify 99% of images by applying a dynamic filter undetectable to human eyeWest Midlands Police anticipates violent crime with predictive policing using machine learning