Next Generation AI and AML Workflows - with Priyank Patel of KeyBank

Next Generation AI and AML Workflows - with Priyank Patel of KeyBank

Author: Daniel Faggella January 15, 2024 Duration: 20:49

Today's guest is Priyank Patel, SVP and Director of Financial Crimes Risk Surveillance at KeyBank. Priyank joins us on today's program to talk about how the fight against false signals in AML workflows is entering a whole new dimension given the democratization of data and new generative AI tools. Throughout the episode, Priyank offers financial leaders sound advice on where to leverage existing technologies and data sources to transform workflows in these areas and beyond. If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!


Hosted by Daniel Faggella, the AI in Financial Services Podcast cuts through the hype to explore how artificial intelligence is practically applied in banking, insurance, and investing. This isn't a theoretical discussion; it's a grounded conversation for executives and decision-makers who need to understand where real value lies. Every episode features direct interviews with those on the front lines-leaders from major global financial institutions and founders of pioneering AI companies-to dissect what actually drives return on investment. You'll hear candid stories of successful implementations, honest assessments of setbacks, and strategic insights into building a viable AI roadmap without needing a technical background yourself. The focus remains squarely on actionable intelligence: identifying tangible opportunities, formulating a coherent strategy, and ultimately delivering measurable results. By tuning into this podcast, you gain access to a clear-eyed view of an evolving landscape, learning directly from peers who are navigating the same complex challenges of integrating advanced technology into established financial systems.
Author: Language: English Episodes: 100

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