Feedzai Intelligence Network (FIN)

Feedzai Intelligence Network (FIN)
Podcast Description
Meet the Feedzai Intelligence Network (FIN)—the podcast that spotlights the art and science of financial crime prevention. Hosted by Feedzai’s rotating roster of AI, fraud, payments, and AML experts, this show digs into fascinating, real-world strategies and challenges that banks and fintechs face daily.
Each episode delivers an unscripted conversation with industry pioneers who are dedicated to protecting the global financial system and helping to shape its future. No sales, no fluff, just impactful ideas.
Podcast Insights
Content Themes
The podcast covers various themes related to financial crime prevention, including intelligence sharing, ethical dilemmas in combating scams, and the role of AI in fraud detection. Recent episodes have discussed barriers to intelligence sharing with the Bank Policy Institute and how Lloyds Banking Group navigates daily fraud challenges, offering a unique lens on the future of fraud prevention.

Meet the Feedzai Intelligence Network (FIN)—the podcast that spotlights the art and science of financial crime prevention. Hosted by Feedzai’s rotating roster of AI, fraud, payments, and AML experts, this show digs into fascinating, real-world strategies and challenges that banks and fintechs face daily.
Each episode delivers an unscripted conversation with industry pioneers who are dedicated to protecting the global financial system and helping to shape its future. No sales, no fluff, just impactful ideas.
AI can process more data than any team ever could. But when it comes to nuance, like understanding cultural context, human expertise is essential.
AI can learn from that expertise, but only if we train it with the right data.
That’s where the future of AML lies: machines amplifying what human experts already do best.
In this episode, Pawneet Abramowski (PARC Solutions) and Karin Yuklea (Feedzai) explain how combining human judgment with machine learning leads to sharper AML decisions.

Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.