With financial fraud losses exceeding £40 billion, financial institutions are under increasing pressure to combat evolving threats. Yet, slow approval processes, regulatory constraints, and legacy systems create major roadblocks. Fraudsters, on the other hand, move swiftly - adapting in real time. So, how can banks and financial institutions keep up?

In this thought-provoking webinar, industry experts Pallavi Kapale, Indra Reddy, and Mat Wynne dive into the role of AI and machine learning in financial crime prevention.  They explore how traditional fraud detection models can evolve, why AML systems need real-time intervention, and how AI-driven automation can enhance monitoring without sacrificing compliance.

• Harnessing AI and technology to enhance customer data management and analysis in banking
• Integration of AI and technology in transaction monitoring and sanctions screening for better risk management
• Exploring gen AI and technology to enhance operational efficiency on a global scale
• Leveraging AI and ML to improve fraud detection and reduce false positives
• Managing automation and real-time payments in a regulated environment
• Exploring generative AI to enhance operational efficiency in financial crime