On-Demand: Using AI to detect FinCrime

On-Demand: Using AI to detect FinCrime

How does AI provide a better way to detect financial crime?

Michael Shearer, former Group Head of Compliance Product Management at HSBC, has firsthand experience implementing machine learning within an anti-financial crime operation in a global bank. In this webinar, Michael shares his experiences, explaining the benefits FIs are seeing from introducing AI as well as how to overcome the challenges.


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Key learning objectives

  • How AI can help banks and payment firms to detect financial crime
  • How you make more accurate decisions by using AI in AML compliance

  • What are the best practices for introducing AI

  • How to avoid common pitfalls of implementing AI

Transform Finance

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Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk’s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime, while maximizing efficiency by reducing false positives. Hawk’s modular solution can either enhance or replace rules-based systems with AI-powered transaction monitoring, payment screening, pKYC, and fraud prevention in real-time to deliver greater accuracy and reduced noise.

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