ARUP saves 790 engineering hours using machine learning to detect utility clash points planning a light rail system for Auckland

WeWork predicts office meeting room usage with 40% more accuracy using neural networks

Orlando Health pilots platform to identify patterns in denied health insurance claims to recover payments and avoid future denials

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

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

Didi to tackle traffic congestion and optimise navigation routes with deep learning

Rolls Royce plans to predict maintenance requirements for jet engines to improve aircraft efficiency using Microsoft Azure's machine learning

Transavia aims at reducing its 2018 carbon footprint by 6500 tonnes using machine learning

The London Fire Brigade identifies the areas prone to fires in ducting systems to provide targeted maintenance using natural language processing

Chinese Government hopes to improve decision support to diplomats working on Bridge and Belt initiative through investment in AI tools

City of Redwood City improves parking occupancy utilisation by 250% and optimises revenue using machine vision

Seattle is identifying collision patterns and factors that contribute to higher levels of injury severity

The Government of Canada plans to algorithmically scan the internet for data on public perceptions of cannabis use and related behaviours

Boston Public Schools's plan to reconfigure start times for high school students using an optimisation algorithm backfires

Kaiser Parmanente increases construction labour productivity by 38% and saves 11% from the initial construction budget with machine vision and analytics

Suramericana optimises urgent operations scheduling with predictive analytics and machine learning

GV evaluates new and follow-on investments using machine learning

AXA used deep neural networks to increase the predictability of a customer large traffic accident from 40% to 78%

SCT Capital Management $350 Adaptive Quant Trading hedge fund is fully automated

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

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

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

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