Ryanair monitors the performance of its online service in real time and identifies root cause of issues in minutes compared to hours previously using machine learning

Facebook and CrowdAI researchers develop a machine learning method to identify geographic areas heavily affected by natural disasters

eBay research identifies 40% of credit card fraud with high precision automatically using machine learning

The Zoological Society of London is preventing poaching with machine vision and machine learning

Choozle announces partnership with Oracle's Grapeshot to determine optimal online ad placement and ensure brand safety using AI

Infinity Property & Casualty processes claims 35% faster by developing a solution to flag potentially fraudulent claims using machine learning

Influential assesses suitability of social media influencers for use in marketing campaigns by analysing social media content using natural language processing

Man Group extends AI models to four large funds for predicting financial market pricing and risk

Moody's Analytics find loan risk prediction is improved using AI models over its proprietary RiskCalc model

Nasdaq purchases AI software company Sybenetix to monitor and flag unusual trader activity using AI

An Anonymous UK Insurance firm demonstrates that it can better assess the risk of insuring companies by automatically determining relevant UK court cases with deep neural networks

Direct Line Insurance uses machine learning to automatically flag fraudulent claims in automotive section with 75% hit rate

MS & AD Insurance Group detects 2.5 times more fraudulent claims than industry average using machine learning

Thrivent Financial attracts 250% more visitors to their website and acquires 22% more customers using Hearsay

American Express identifies $2 billion in potential annual incremental fraud incidents with machine learning

Chime decreases basis point loss by 40% using a machine learning fraud detection platform

Danish Danske Bank increases payment fraud detection by 60% and reduces false positives by 50% with machine learning

Dankse Bank identifies fraudulent online banking customers with 99.7% accuracy in a pilot with the BehavioSec behavioural biometrics system

Earthport Payment Network reduces false positives of automated suspicious transaction detection using AML risk data in real-time

Holvi reduces time spent investigating false positives for customer risk using AI platform ComplyAdvantage

Monzo decreased pre-paid card fraud to 0.1% and false positive rate to 25% using machine learning

NatWest Bank prevents over £7m worth of corporate fraud by using machine learning to detect suspicious invoice payment activity

OCBC bank reduces number of false positive financial transaction alerts by 35% with machine learning

RBS identifies invoice fraud saving £7 million of losses to customers with artificial intelligence

SMFG, the Japanese financial services company, uses deep neural network to analyse credit card transactions and predict fraud with an 80-90% accuracy

Predictim offers trustworthy background checks for babysitters using natural language processing and computer vision

New York Times increases article commenting capacity by 3x using machine learning to automatically flag inappropriate content for moderator review

Drivers demonstrate Tesla's Autopilot limitations in recreation of fatal Model X crash at exact same location

Uber's self driving car failed to visualise and recognise a pedestrian and the potential risk in real-time resulting in a fatal accident

Lyft delivered a 40% increase in potentially fraudulent users detected without increasing false positives by using neural networks