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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What Shared Intelligence Really Fixes in Enterprise AI – with John McMullan of Observe.ai
October 8, 2026
Enterprise CX teams have poured budget into AI, yet many still can't show measurable returns — frontline staff double-check the tools, and each new bot becomes another disconnected silo. In this episode, John McMullan, Head of Product Marketing and Strategy at Observe.AI, joins host Yolandi de Weerdt to examine why AI adopted without operational discipline falls short, and how a shared interaction intelligence layer...
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Inside the Shift Toward Smarter Automated CX – with Paul Cuglietta of Simplyhealth
October 7, 2026
A single misstep in a new customer service channel can undo months of trust-building work. In this episode, Paul Cuglietta, Customer Services Director at Simplyhealth, explores how disciplined testing, governance, and stakeholder sign-off shape agentic AI rollouts inside a regulated, high-trust environment. The conversation covers matching automation to the way customers speak across channels, building a long-term AI vision tied to company purpose, and getting...
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Stop Overpaying for AI Power You Don’t Need – with Melissa Ramey of Salesforce
October 6, 2026
An AI agent can function as designed yet produce results an organization cannot verify or safely use. In this episode, Melissa Ramey, Director, AI Transformation – Data Insights and User Experience at Salesforce, joins Emerj's Yolandi de Weerdt to examine who owns agent behavior after deployment and why correcting individual outputs does not fix the underlying workflow. She explains how source evidence, shared definitions, and...
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Turning Biological Complexity into R&D Advantage with Virtual Cells – with Giorgio Gaglia of Sanofi & Daniel Veres of Turbine
October 5, 2026
Drug discovery teams are running short of new ideas to test, and AI models that simulate how cells respond to drugs only pay off once leaders know when those predictions can be trusted with experiments, timelines, and budget. In this episode, Daniel Veres, Co-Founder and Chief Scientific Officer at Turbine, and Giorgio Gaglia, Head of Systems and Disease Biology at Sanofi, examine with host...
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Where AI Should Actually Earn Its Keep in Biopharma – with Mukhtar Ahmed of Greenstone Biosciences
September 29, 2026
In biopharma R&D, AI investment has overwhelmingly targeted generating more drug candidates, even though the industry has rarely lacked for compounds worth pursuing. In this episode, Mukhtar Ahmed, Director of Project and Portfolio Strategy at Greenstone Biosciences, explores why the harder and more valuable problem is deciding which candidates deserve continued capital and attention. The conversation covers synthesizing fragmented evidence across teams, keeping human judgment...
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