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

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

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

Funding Circle provides the only access to finance for 21% of its SME users SMEs by using machine learning in loan underwriting

The European Central Bank identifies vulnerabilities at individual, country and Eurozone level banks

Danske Bank plans to determine liquidity risk using Bloomberg's machine learning product LQA

Bank of NY Mellon reduces processing and trade entry turn around time by 88% and 66% respectively using robotic process automation.

Scotiabank improves payment collections of credit card customers using deep learning

Gullivers Travel Associates reduces average transaction costs and invoice processing time by 74% and 86% respectively with machine learning

ASOS eliminates the risk of inaccurate data entering finance systems by implementing a machine learning solution for invoice handling

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

ANZ bank identifies high risk loans and predicts customer defaults with deep learning

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

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

Castle Ridge Asset Management identifies and rebalances portfolio investments among diverse asset classes using machine learning

Overbond predicts yields for new bond issues with less than 0.02 percentage point inaccuracy by using machine learning

Deutsche Bank implements AI trading platform for predicting equity prices and volume

Wells Fargo demonstrates 88% short-term and 58% longer term recommendations accuracy using machine learning to predict stock price movements

Otto predicts with 90% accuracy what products will be sold within 30 days driving automated purchasing and reduction of annual returns by 2M

Lennox improves service levels by 16% and increases inventory turns by 25% with machine learning powered demand predictions

Danone increased product demand forecast accuracy to 92% with a 55% improvement in net uplift from promotional events using machine learning

ScriptBook produces financial forecasts for films based on their scripts using machine learning and natural language processing

Big River Steel is predicting the availability of scrap steel using a predictive AI engine

SunSelect enables greenhouse farmers to more accurately forecast their future harvests with machine learning

TellusLabs aims at providing accurate prediction of natural resources and agricultural yields with machine learning

The National Institution for Transforming India partners with IBM to develop a crop yield prediction model using AI

The US Department of Natural Resources used deep learning vision analysis of satellite imagery to predict the size of soya and corn crops well before harvesting