American Banker Podcast

Aaron Ansari, an independent consultant specializing in anti-money laundering compliance, shares his expertise on the persistent failures of banks like TD Bank and Bank of America in meeting AML regulations. He discusses systemic issues, including a lack of resources and the need for cultural shifts within banks to prioritize compliance over profit. Ansari emphasizes the integration of technology like AI and automation, while stressing the vital role of human oversight in enhancing detection and maintaining employee trust in combating money laundering.

Some banks are "punching above their weight," according to Dan Latimore, chief research officer at The Financial Revolutionist. Here's how they do it.

Ian Mitchell, founder of The Noble, an organization that works with law enforcement and with banks to fight human crime trafficking, explains some of his group's recent work and why banks need someone dedicated to human crime.

Elder financial exploitation has been a problem for banks for years, and it's getting worse. Gunther offers practical suggestions for what banks should do when they suspect an older customer is a victim.

The Arkansas community development financial institution has an ambitious goal of making $500 million worth of mortgages in rural, minority and low-income neighborhoods.

The technology will take on routine, dull work, says Alenka Grealish, principal analyst at Celent.

Kartik Ramakrishnan, deputy CEO of Financial Services at Capgemini, discusses the significant rise in banks' trust and investment in generative AI. He highlights how boardroom conversations have shifted, prioritizing governance and strategic integration. The podcast delves into the delicate balance of centralized versus decentralized management strategies for AI, along with the use cases like fraud detection. Ramakrishnan also emphasizes the need for responsible AI guidelines and evolving trust in AI despite concerns over its accuracy.

Advances in the company's AI-based lending models have made them better at predicting risk, which has led to growth, he says.

Seth Dobrin, founder of Qantm AI and former global chief AI officer at IBM, addresses the complications of large language models (LLMs) in financial services. He highlights the alarming rate of hallucinations in these models and discusses mitigation strategies like retrieval augmented generation. Dobrin also emphasizes the ethical ramifications of data usage, the environmental impact of LLMs, and the need for a responsible framework to harness their potential effectively. His insights shed light on the critical balance between innovation and accountability in AI.

Jake Donoghue, author of the book Crypto Confidential, shares some of the worst practices he saw as a founder of a cryptocurrency company.