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AI in Financial Services Podcast
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AI in Financial Services Podcast

Author: Daniel Faggella

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The AI in Financial Services is for non-technical financial services leaders looking to find AI opportunities, build an AI strategy, and deliver ROI.

Each week, Emerj AI Research team (and CEO Daniel Faggella) interview leaders from global financial services firms and unicorn AI startups to get to the heart of AI ROI - uncovering what's working and what's not working for FinServ leaders.

Visit our advertising page to learn more about reaching our executive audience of AI adopters in the world's largest banking and insurance firms: https://emerj.com/advertise
200 Episodes
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As AI quietly drafts more of the reports, pitch books, and client materials leaving financial institutions, few firms have settled who is accountable for what it produces. In this episode, Chris B. Kennedy, Managing Director of Strategic Technology & AI at Regions Bank, examines why ownership of AI-generated work splits into legal, regulatory, and human-accountability questions that most AI policies don't yet answer. He walks through why percentage-based AI usage rules fall short, why AI detection tools can't be trusted for high-stakes decisions, and what it takes for a leader to stand behind work AI helped create. Learn more about how recipes drive pipeline for other AI brands - download our media kit at http://emerj.com/AD2  
Product photography has long been one of e-commerce's biggest cost and speed bottlenecks, and generative AI is rewriting both sides of that equation. In this episode, David Cost, Chief Digital Officer at Rainbow Apparel Co, examines how generative AI is reshaping product imagery and video production for commerce teams. The conversation covers cost and speed gains, the risk of visual sameness across AI-generated creative, and how brands are rethinking model rights as they adopt digitally created models. Learn how financial institutions are turning paper records and alternative data into usable AI insights. Download the free AI in Financial Services Executive Cheat Sheet at emerj.com/fcs2
Enterprise AI investment keeps stalling before it reaches measurable business impact, and the reason is rarely the technology itself. In this episode, Sam Mantle, CEO at Lingaro, unpacks why data quality and ownership, not model capability, determine whether a pilot scales into something a CFO will call a win. The conversation covers how to diagnose a pilot headed for "pilot purgatory," a real-world example of using AI to resolve data-quality issues at scale, and the one practical step leaders can take this week to move from AI experimentation to impact. ​ This episode is sponsored by Lingaro. ​ In this episode, we cover why enterprise AI pilots stall before delivering measurable business impact, and what it takes to build the data foundation that lets AI scale. Learn how venture funding and CEO perspectives can reveal real AI trends. Download the free report, "3 Ways to Discover AI Trends in Any Sector," at emerj.com/ait2
A growing share of AI‑for‑CX guidance assumes a generic enterprise environment, but this episode surfaces the deeper operational friction that emerges when automation meets high‑stakes, highly regulated customer interactions.   In this episode, Shri Nandan, VP of AI Products and Experiences at Comcast, examines how regulatory constraints, fragmented data ownership, and emotionally or legally sensitive workflows reshape what AI can realistically deliver in healthcare and financial services alongside host Yolandi de Weerdt.   She highlights the practical shifts required for leaders to scale AI safely and effectively — from establishing tight governance and unified data foundations to designing agent systems that know when to escalate and when to automate.   Learn how these conversations drive pipeline for AI brands - download our media kit at http://emerj.com/AD2
AI is breaking down the traditional separation between technology leadership and people leadership, forcing enterprises to rethink how work is structured and how employees adopt new systems.   In this episode, Guillaume Lardeux, Head of Transformation and Office of the CEO at Genesys, and Eva Majercsik, Chief People Officer at Genesys, examine how AI-driven workflow redesign requires shared ownership across functions, as discussed with host Marilie Fouché.   They highlight the practical shifts involved — mapping current processes, identifying friction points, rebuilding workflows where humans and AI operate together, and supporting adoption through cultural alignment and iterative experimentation.   Learn the strategies we use to help leading AI brands and startups connect with their ideal enterprise AI buyers, visit: emerj.com/AD2
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