AI case studies from the real-world

The Equbot AIEQ Exchange Traded Fund informs portfolio decisions from data including financial documents and social media posts using AI algorithms to predict price changes

Kreditech determines credit worthiness of thin file customers by analysing the way they use internet, social media data, location data and past behaviour, using machine learning

Australian Renewable Energy Agency improved accuracy of solar energy predictions by 31% using machine learning methods based on a distributed network

Siemens Gamesa Renewable Energy reduces inspection time of wind turbine blades by 75% by using non-destructive testing

Orbital Insight identifies 4x more crude oil tanks in China than the official number by analysing satellite imagery

ASOS.com researchers demonstrate improved customer lifetime value predictions using neural networks and automatic feature selection but do not advise implementation due to increased cost

H&M improve single store sales by improving inventory planning through machine learning to discover trends on social media

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

Otto reduces the rate of product returns by predicting sales for the next three months with 90% accuracy using machine learning to understand consumer preferences

'Rooms to go' uses Machine Learning to offer tailored add-on options to customers

Alliance Boots achieves inventory savings and improved service levels with machine learning optimisation algorithm

TV News Archive automatically identifies politicians' appearances on news programs using facial recognition

The AEI analyses China’s changing policy focus through tracking key media reports with machine learning

The AP informs its news stories with analysis of Twitter users' engagement with the US president's tweets using machine learning

DM drugstores optimises shift planing in retail stores using advanced prediction modelling

Researchers at Stanford and Columbia predict restaurant affinity among lunch-goers in the Bay area using machine learning

SteadyServ manages inventory in real-time using a smart draft beer management system which monitors in-store inventory and analyses sales data to predict demand accurately

Uber Eats improves estimated time of delivery information accuracy by 26% using machine learning algorithms

Fox predicts likelihood of watching movies at theatres based on trailers with machine learning

Goldman Sachs unsuccessfully predicted participants of the World Cup 2018 finals by crunching team data with machine learning

Pandora plans to predict artist success rates and identify effective marketing strategies using machine learning

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

Big River Steel optimises production and minimises unplanned events in the production process process with machine learning

Freeport-McMoRan improves rock face assessment for better planning of steep blasting mining using drones

Goldcorp plans to increase accuracy of identifying potential mining prospecting areas using IBM Watson and machine learning to analyse drilling and geological data

Jerrit Canyon Gold identifies high prospectability areas using Goldspot Discoveries' machine learning geological model

Connecterra increases dairy production by as much as 30% by tracking and analysing the health of cows with machine learning

Deveron is a vendor offering technology for crops counting and yield measuring leveraging drones and machine learning