A Practical Guide to AI for Financial Crime Risk Detection
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Read this Practical Guide to AI and learn:

  • The value of AI for fraud and money laundering detection in banking through practical use cases and insights
  • Why pre-emptive risk management is key
  • How to connect the abstract potential of AI in financial crime risk management to regulatory expectations
  • What a practical, actionable roadmap for deploying AI in banking looks like (in 5 easy steps based on interviews with Resistant AI and ComplyAdvantage customers)

Effectiveness and efficacy are key to scaling. Integrating an AI-driven transaction monitoring solution means we can grow our customer base without growing our headcount at the same rate. With Resistant AI and ComplyAdvantage, we can manage our known risks more efficiently while also identifying and adapting to previously unknown risks

Valentina Butera, Head of AML and AFC Operations at Holvi

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