The AI in Business Podcast
Practical conversations on enterprise AI adoption, AI strategy, and the future of work.
The AI in Business Podcast helps business and government leaders understand how artificial intelligence is being applied in the real world.
Each week, Emerj AI Research speaks with AI executives, machine learning leaders, and enterprise innovators about AI adoption, AI strategy, and the trends shaping the future of work.
With more than 8,000,000 all-time downloads, the podcast features practical, non-technical conversations for leaders who want to understand where AI is creating real business value.
The show has featured guests from organizations including Google DeepMind, Facebook, Amazon, Accenture, IBM, Nuance, and Floodgate.
Browse the latest episodes below, or follow the show wherever you listen to podcasts.
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How Financial Services Leaders Operationalize Safe AI – with Dr. Oscar A. Rodriguez of Citi
June 25, 2026
The rapid expansion of AI in financial services is creating a widening gap between enterprise ambition and the operational readiness required to deploy systems that are secure, compliant, and trusted. In this episode, Dr. Oscar A. Rodriguez, Vice President of Data Analytics at Citi, joins Daniel Faggella, Emerj CEO and Head of Research, to describe how leaders build the operating model for safe AI at...
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Closing the Decision Gap in Volatile Supply Chains – with & Prasad Mahajan of Optilogic and Dr. Gopalendu Pal of Target
June 25, 2026
Supply chains are moving from predictable planning cycles to a reality where volatility demands continuous redesign and faster decision‑making. In this episode, Dr. Gopalendu Pal, Director of Operations at Target, and Prasad Mahajan, Senior Director of Customer Engagement at Optilogic, examine how leaders can adapt by tightening the gap between sensing disruption and adjusting operations, as Emerj's Daniel Faggella guides the discussion toward the implications...
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Why AI in Document-Heavy Workflows Fails Without the Right Foundation – with Sumedh Chaudhary of IBM
June 24, 2026
Enterprise AI initiatives consistently break down in document-heavy environments, not because the underlying models are inadequate, but because fragmented data silos, page-break context loss, and uncoordinated extraction tools erode the semantic layer AI needs to reason accurately. In this episode, Sumedh Chaudhary, CTO US Industry Market at IBM, breaks down why a multi-agent architecture is the operational prerequisite for AI to function reliably in regulated,...
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AI-Empowered Customer Service, From Hype to Scalable Operations – with Shri Nandan of Comcast
June 23, 2026
Significant enterprise investment in AI-driven customer service is producing inconsistent outcomes — and the gap between deployment ambition and measurable business value remains striking. In this episode, Shri Nandan, VP of AI Products and Experiences at Comcast, examines why organizational culture and readiness are the primary determinant of whether AI in CX delivers results that move the needle. The conversation covers how to define resolution...
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Unified Predictive Decision Making for Retail Growth – with Felix Hoffman of 7Learnings
June 22, 2026
Retailers managing pricing, marketing, and inventory through separate teams with separate data are losing margin not to market volatility, but to decisions that were never designed to work together. In this episode, Felix Hoffmann, CEO at 7Learnings, examines how predictive, unified commercial decision-making replaces reactive, rules-based approaches — and why most retailers underestimate how much revenue they leave on the table by optimizing each function...
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