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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Building Trustworthy AI for Enterprise Workflows – with Amar Akshat of PaySafe
April 21, 2026
The consistency gap in enterprise AI represents a critical failure point where unpredictable system behavior outside of controlled demos threatens to derail executive sponsorship and regulatory compliance. In this episode, Amar Akshat, SVP & Chief Architect at Paysafe, examines how leaders can move beyond experimental shadow AI by embedding determinism and high-threshold guardrails directly into the production pipeline. The discussion outlines a rigorous evaluation framework...
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Scaling Regulated Data Workflows Without Lock‑In – with Juan Orlandini of Insight
April 17, 2026
Legacy financial systems often trap organizations in "data swamps" where AI is mistakenly treated as a magic fix for fundamentally broken manual architectures. In this episode, Juan Orlandini, CTO of North America at Insight, outlines why senior executives must distinguish between statistical AI outputs and the mathematical precision required for financial compliance to avoid significant reporting risks. The conversation provides a roadmap for building a...
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Breaking Bottlenecks in Life Sciences R&D with AI Innovation – with Aziz Nazha of Incyte Pharmaceuticals
April 16, 2026
R&D teams are starting to advance AI capabilities faster than they can translate them into measurable business value, creating mounting friction between scientific progress and operational reality. In this episode, Aziz Nazha, Global Head of AI Innovations Institute at Incyte Pharmaceuticals, examines how culture, talent, infrastructure, and expectation‑setting determine whether AI meaningfully improves drug discovery and development. He highlights the practical shifts required — from...
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Scaling Customer Experience with Operationalized Agentic AI – with Shezan Kazi of Dialpad
April 16, 2026
A recurring challenge for leaders is that the use cases they expect to automate rarely match what customers actually struggle with once large‑scale conversation data is analyzed. In this episode, Shezan Kazi, Head of AI Transformation and AI Products at Dialpad, examines how autonomous agents should take the first pass on high‑volume deterministic requests, when they must hand off to humans, and why confidence scoring...
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Turning Computer Vision Into Real‑World Value at Enterprise Scale – with Joseph Nelson of Roboflow
April 15, 2026
A major shift is underway as enterprises move from lab‑ready computer vision to the far more complex reality of deploying visual intelligence across messy, variable, high‑stakes physical environments. In this episode, Joseph Nelson, Co‑founder and CEO at Roboflow, examines how dependable visual data, models tuned to real operating conditions, and integration with existing production and safety systems determine whether visual AI delivers meaningful value. He...
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