Neopost identifies customers at risk of churn with machine learning using PredicSis

France 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%.

US cellular increases customer lifetime value by 61% by analysing website visitor behavior against online and offline sales, subscriptions and renewals using machine learning

Microsoft trials AI to analyse strategic partners contracts

US Army test computer vision for an enemy infrastructure recognition system in real-time

US FEMA estimates building damage caused by volcano eruptions using satellite imagery and convolutional neural networks

The Northern Territory Department of Primary Industry and Resources achieves 95% accuracy identifying fish with machine learning

The US National Oceanic and Atmospheric Administration is using AI to improve real-time decision-making for high-impact weather

The World Bank is exploring using machine learning to analyse and improve public spending processes and find signals indicating potential corruption with Microsoft Research

Monta Vista High School students build a model to predict wildfires using Google Tensorflow

CaseCrunch's AI program demonstrates greater accuracy predicting the outcomes of historic PPI cases than human lawyers

FICO reduces bank's losses on delinquent customers by up to 25% with machine learning that predicts consumer credit risk

H&R Block improves filing acceptance rates by 10% by monitoring the performance of its online tax filing application and user experience using machine learning

Schneider Electric saves €8 million by optimising its supply chain using machine learning

An anonymous global insurance company analysed customer contact recordings and claims data to drive sales yields using natural language processing

Nordstrom offers multi-channel services to customers while proactively monitoring performance and customer activity across channels with AI enabled analytics

Seattle Reign FC aim to minimise sports injuries through deployment of Microsoft's Sports Performance Platform

The NBA optimises team and players strategy in games with machine learning and vision enabled analytics

BHP saves $5.5M by predicting mining truck maintenance requirements with machine learning

Open Agriculture Initiative identifies optimal growing conditions and correlations for optimising basil flavour using machine learning

PlantVillage detects multiple diseases in Cassava plants with machine learning

CargoMetrics analyses satellite shipping imagery and plans to to identify investment opportunities based on the data with machine learning

Portcast is a data analytics vendor promising to optimise logistics for the maritime industry using machine learning

H2O.ai to offer interpretable ready-to-deploy deep learning and machine learning algorithms for enterprises to enable a faster transition to AI

Lobe is a visual tool that can be used to build custom deep learning models without writing any code

ICRISAT and Microsoft enable Indian farmers to achieve up to 30% higher yields at trial through machine learning advice on when to sow crops

New York is estimating street volumes and understanding how street design can reduce injuries using predictive algorithms

The US Veterans Affairs was able to increase therapy completion rate among war veterans with PTSD by more than six times using machine learning to personalise the program

Harvard university seismologists developed a deep learning algorithm to predict the location of aftershocks with an AUC of .849

Peptone accelerates protein research for drug discovery with a machine learning derived database