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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The Hidden Risk in Every Enterprise AI Vendor Contract – with John Belden of UpperEdge
May 18, 2026
Boards are pushing CIOs to commit to AI strategies built on contracts written for an entirely different era of enterprise software. In this episode, John Belden, Chief of Research and Strategy at UpperEdge, breaks down the six dimensions of uncertainty CIOs now face when weighing major AI and ERP commitments, and explains why the next five years are about flexibility, not productivity. The conversation covers...
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The Architecture Shift Behind Reliable Enterprise AI – with Ravi Marwaha of Arango
May 14, 2026
Context defines accurate, reliable AI decision‑making, forcing enterprises to confront the fragmentation that prevents systems from accessing the information those decisions depend on. In this episode, Ravi Marwaha, Chief Operating Officer & Chief Technology Product Officer at Arango, examines how AI breaks down when it is asked to reason across disconnected architectures that cannot supply a unified, critical context. The discussion highlights how leaders can...
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Why Manufacturing’s Most Valuable Data Isn’t in Any System — with Anand Gnanamoorthy of Ingersoll Rand
May 13, 2026
A significant share of manufacturing knowledge still lives in the heads of retiring workers, and the window to capture it is closing as operations push toward AI-enabled ways of working. In this episode, Anand Gnanamoorthy, Director of Corporate Strategy and AI at Ingersoll Rand, examines how manufacturers can digitize tribal knowledge, structured operational data, and decades of unstructured archives before that context disappears. The discussion...
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Why Predictive AI in Service Only Works on the Right Foundation – with Niken Patel of Neuron7.ai
May 13, 2026
Enterprise service leaders are realizing that deploying AI for simple productivity gains fails to resolve the underlying issues that cause repeat truck rolls and high costs. In this episode, Niken Patel, CEO and Co-Founder at Neuron7.ai, unpacks why moving beyond basic automation requires a deterministic intelligence layer to make fragmented data ready for complex resolution decision-making. The discussion focuses on benchmarking industry performance, educating core...
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Building Predictive Safety Systems in Energy Operations – with Patricio Rivera of Oxy
May 12, 2026
Energy organizations have made progress in safety, but most still rely on backward‑looking investigations rather than systems that anticipate when risk is rising. In this episode, Patricio Rivera, Former Vice President of HSE International at Oxy, joins host Matthew DeMello and examines how learning from good days and leveraging existing observation data can strengthen an organization's ability to predict and prevent safety‑critical events. He highlights...
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