There’s much hype and excitement around how AI and machine learning could transform the world of finance. But a key area of development growing behind the scenes of talking robots and automated assistants is how these new technologies will have a seismic impact on Anti-Money Laundering (AML) and Counter-terror Financing (CTF) back-end compliance processes. AI can dramatically improve AML risk data collection; spotting new risks faster and digging deeper for hidden risks.

It will also shift customer onboarding & KYC processes from ‘name matching’ to contextual ‘identity matching’ to reduce false positives and false negatives. Unlike other industries, the training data required to make this a reality with machine learning techniques are available today.

AI-driven compliance will ultimately have an enormous impact on how financial services will work - increasing automation, reducing manual overheads and helping prevent financial crime.

Presented by Charles Delingpole, CEO & Founder ComplyAdvantage

Charles Delingpole founded ComplyAdvantage in 2014, and as CEO leads the product development and growth of the company. Charles set up his first company, The Student Room Group, now the world’s largest student discussion forum, when he was 16. After completing his MA in Politics at Trinity College Cambridge, and then an MSc in Management, Strategy and Finance from the LSE, he became an associate at J.P. Morgan Cazenove. He then went on to co-found FinTech firm MarketInvoice, a peer -to - peer financing company which uses customer data to digitise the approach to financial risk analysis.