The AI in Business Podcast
Daniel Faggella
The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI.
Each week, Emerj research staff and journalists interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption.
Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise
Each week, Emerj research staff and journalists interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption.
Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise
Episodes
Mentioned books
21 snips
Mar 4, 2026 • 29min
Rethinking Pharma Commercial Targeting with AI - with Philip Poulidis of ODAIA
Philip Poulidis, CEO and co-founder of ODAIA, builds predictive commercial intelligence for pharma. He explains why brand intent often fades in real-world execution. He discusses AI for real-time patient and HCP prioritization. He covers embedding AI into reps' workflows, measuring outcomes not activity, and how to run tight pilots to prove value quickly.
13 snips
Mar 3, 2026 • 24min
How AI Is Reshaping Shutdown and Turnaround Operations - with Raghu Ahobilam of NOV
Raghu Ahobilam, Global Director of Inventory and Assets at NOV, brings deep experience in inventory, asset strategy, and operational transformation. He discusses building KPI-driven dashboards that guide decisions. He highlights data readiness and where predictive analytics add early value. He covers practical wins like fleet optimization, facility consolidation, and tying digital investments to clear ROI.
20 snips
Mar 2, 2026 • 19min
Trusted AI Architectures for Risk and Compliance Leaders - with Dean Alms & Eric Hensley of Aravo
Dean Alms, Aravo Chief Product Officer focused on AI-driven third-party risk and automation, and Eric Hensley, Aravo CTO specializing in AI-native continuous monitoring and legible automation. They discuss taming the continuous monitoring data firehose, when to use interactive discovery versus embedded workflow automation, automating document ingestion and rote language tasks, and adding Responsible AI into vendor assessments.
34 snips
Feb 27, 2026 • 23min
AI for Better Customer Connections in CX - with Joe Atamian of Comcast
Joe Atamian, VP at Comcast who leads AI-first contact center transformations, talks about fixing fractured customer context. He explains AI as connective infrastructure across IVR, chat, and agents. Short pilots, frontline input, and new CX metrics are recommended. The conversation highlights continuity, smarter coaching, and business benefits from one-and-done customer resolution.
31 snips
Feb 25, 2026 • 19min
Turning Real World Data into Safer Outcomes for Fleets and Physical Operations - with Hemant Banavar of Motive
Hemant Banavar, Chief Product Officer at Motive, leads product strategy for AI systems that protect safety-critical physical operations. He talks about shifting from delayed reporting to edge-based, real-time detection and feedback. He covers why accuracy and low latency matter, how video plus telematics create actionable risk signals, and the ROI of preventing incidents and reducing costs.
18 snips
Feb 24, 2026 • 28min
Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft
Umesh Rustogi, General Manager of Dragon for Nursing at Microsoft Health & Life Sciences, applies AI to clinical workflows to ease nurse documentation. He discusses designing usable AI tools for nurses. He covers change management and adoption analytics. He outlines training, local champions, and feedback loops. He previews agentic AI teaming with clinicians.
32 snips
Feb 19, 2026 • 19min
Improving Warehouse Efficiency with Unified Data and AI-Driven Visibility - with Dan Keto of Easy Metrics
Dan Keto, President and Co-Founder of Easy Metrics, builds cloud tools that unify warehouse operational, labor, and financial data. He discusses fixing fragmented data to get real-time visibility. He covers why a conditioned data foundation should come before AI. He explains investigations, alerts, and ways to align stakeholders around a common data language.
19 snips
Feb 17, 2026 • 30min
Enterprise AI Adoption at a Moment of Maximum Skepticism - with Nishtha Jain
Nishtha Jain, AI innovation and strategy leader at Takeda Pharmaceuticals, aligns advanced analytics with clinical, regulatory, and operational workflows. She explores why enterprise AI pilots stall. She covers unrealistic expectations, focusing on use cases over flashy models, tackling employee fear, human-centered design, measuring ROI beyond cost cuts, and building flexible, experiment-driven operating models.
40 snips
Feb 14, 2026 • 2h 5min
In a Sea of Complexity, Does a "Successor" Exist? - with Stephen Wolfram of Wolfram Research
Stephen Wolfram, founder of Wolfram Research and creator of Mathematica and Wolfram|Alpha, shares his work on computation and complexity. He explores how simple rules produce unpredictable systems, why computational irreducibility limits shortcuts, and how evolution and coarse objectives shape adaptive AI. They also debate life, sentience, and ethical questions around uploads and post-human futures.
18 snips
Feb 10, 2026 • 19min
From Demos to Defensible in Financial Services Copyright & Compliance for Enterprise AI - Naveen Kumar of TD Bank
Naveen Kumar, Head of AI Governance at TD Bank, is an expert in AI risk and compliance. He discusses where copyright, licensing, and audibility risks show up in financial workflows. He outlines what defensible AI looks like: transparent pipelines, output guardrails, human review, and audit logging. He also covers sandboxing, role-based data access, and handling partner data and customer consent.
