AI case studies from the real-world

New Delhi Police plans to manage traffic in the city using camera sensors and machine learning

The Government of Zimbabwe to leverage facial recognition technology for security purposes and building a national image database

The US Department of Homeland Security to enhance security at borders through facial biometric technology

China's Hangzhou No. 11 Middle School monitors students through facial recognition cameras

University of Toronto researchers have developed an algorithm that makes facial recognitions systems misclassify 99% of images by applying a dynamic filter undetectable to human eye

Servizi in Rete detects cyber-security threats in real-time using unsupervised machine learning to classify every action in the network

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

The British Army is operating an unmanned air vehicle which is able to take-off, fly and land autonomously

Cincinnati Children’s Hospital Medical Centre predicted at expert-level 91% accuracy which students are at higher risk of perpetrating school violence using machine learning on interview scores

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

Nasdaq enhances conduct surveillance to ensure compliance and transparency to achieve 250% increase in detection acuity using natural language processing and 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

Clearbank combats fraud and money laundering with the use of machine learning

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

Danske Bank prevents card fraud with the use of machine learning

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

HSBC reduces false positives for money laundering detection by 20% using AI to automate the system rules

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