AI case studies from the real-world

Swedbank AB implements Oracle's HCM solutions to digitise and automate the bank’s human resources processes

Loka enhances HR responsiveness to employee questions and improves awareness of policies and benefits through internal chatbots

Schneider Electric expands its potential candidate database to 275m and identifies candidates matching jobs using machine learning

30SecondsToFly struggles to scale the automation of SMB corporate travel management with the deployment of text chatbots

Hilton Hotels and Resorts improves hire rates by 40% using video intelligence platform to hire 1000s for their Hilton Reservations and customer care

Albert Heijn, a Dutch grocer, reduced time to hire by 67% and improved candidate satisfaction by using machine learning to better match applicants to roles

Nearbuy implements inFeedo's Amber to automate employee interventions, increase upper management productivity and boost employee morale

Unilever saved over 50,000 hours in candidate interview time and delivered over £1M annual savings and improved candidate diversity with machine analysis of video-based interviewing.

Indigo improves candidate experience and cuts hiring costs by 71% using machine learning

BuzzFeed attracts more suitable job candidates through recruitment response automation using uses IBM Watson and Uncubed

Evernote doubles click-to-apply on Glassdoor and attracts ten to forty percent more candidates from underrepresented groups by optimising job descriptions using machine learning

Johnson & Johnson increased high-quality job applicants by 41% and career site click-through rate by 45% through better candidate-position matching with Jibe

Walgreens boosted efficiency in the HR shared services group by 73% with RPA

Blackburn Rovers Football Club increasing productivity by identifying staff who had excessive personal computer use

Brooklyn Dynamics researching an athlete scouting application based on machine learning of historic data

BMW increases worker safety and productivity and space utilisation through human-robot-collaboration

Rio Tinto machinery operators wear SmartCaps to detect dangerous levels of fatique by applying neural networks to brain signals

UK 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 learning

British Telecom saves an estimated £100M a year using the automated contract analysis platform RAVN

Dell reduces costs while ensuring contractual obligations are met with contract analysis automation

Google predicts river floods and their severity using AI based forecasting models

Circle Up helps startups raise funds via crowd funding by evaluating their potential and risk using machine learning

Ideo.org improves employee and bookkeeping efficiency using automated expense reporting

The United Nations, World Bank and ICRC aim to eliminate famine using machine learning

IBM Research build machine learning model to analyse migration factors for prediction with low error rates

New York State increased its collections from delinquent revenue by 8% using reinforcement learning

The Chinese Government is building a social credit system for citizens to measure, monitor and incentivise approved behaviour patterns

The Government of Karnataka will help small farmers with crop price market predictions by using machine vision to analyse satellite images

The UK government identifies welfare and state benefits fraud with artificial intelligence

Stecklein & Rapp law firm increases productivity by 20% through automation of billing tracking