Artificial Intelligence for Risk Reduction in Banking: Current Uses (18/30)

“Banks are investing heavily in artificial intelligence for risk reduction, namely fraud detection, compliance and cybersecurity. In machine learning terms, these are applications of anomaly detection techniques. We will look at how three banks — HSBC, JPMorgan and Danske Bank use AI to combat fraud, comply with anti-money laundering (AML) regulation, and shield against cyber threats.”

Source: Towards Data Science

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Written by Christophe Langlois

Based in London for almost a decade, Christophe is an entertaining fintech marketing keynote speaker and a trusted advisor to the global financial services industry on the topics of digital marketing, innovation and B2B social media.

Christophe has contributed to over 140 events in 18 countries.

Currently, Christophe is advising a number of fintech startups on marketing and growth hacking and he is the Chief Marketing Officer of The Fintech Power 50, an exclusive annual programme helping fintech scale-ups to accelerate their growth globally.

Christophe's views on are his own.

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