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
12 snips
Mar 27, 2026 • 46min
What Global Tariff Uncertainty Means for Supply Chain Leaders - with Edmund Zagorin of Arkestro and Michael Shin of Trinity Rail Industries
Michael Shin, Chief Supply Chain Officer at Trinity Rail Industries, brings decades of procurement and operations leadership. Edmund Zagorin, Founding Chief Strategy Officer at Arkestro, specializes in AI-driven predictive procurement. They discuss predictive procurement and offer-driven sourcing. They cover AI for contract review, supplier-alternative discovery, geographic diversification, and making sourcing faster and more collaborative.
7 snips
Mar 26, 2026 • 14min
Managing Third-Party Risk at Scale Without Drowning in Surveys - with Carey Smith
Carey Smith, former CIO and technology innovation leader in healthcare, now advising on AI-driven third-party risk. He explains why static surveys fail at scale. He describes continuous, AI-enabled monitoring with deterministic explainability. He outlines shifting from detection to automated remediation and segmenting vendors by materiality.
19 snips
Mar 25, 2026 • 31min
Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine
Eran Yahav, CTO and co-founder at Tabnine, builds enterprise context engines to give AI systems organizational memory and reasoning. He discusses why AI struggles in legacy environments, a three-layer architecture (LLM, agent UI, context engine), and how mapping dependencies, precomputation, and running inside security perimeters can boost reliability and cut costs.
10 snips
Mar 24, 2026 • 39min
From AI Experiments to Enterprise Value Driving Real Business ROI - with Dan Diasio of EY
Dan Diasio, Global AI Consulting Leader and Americas Consulting CTO at EY, helps enterprises turn AI experiments into strategic value. He discusses why companies reinvest AI gains into workforce reinvention and new operating models. He explains what AI-first organizations look like, why mindset and skills matter more than tools, and how leaders should stay current to steer AI toward differentiation.
11 snips
Mar 20, 2026 • 29min
Why Ensemble Architectures Win Against Real-Time Voice Risk - with Mike Pappas of Modulate
Mike Pappas, Co‑founder and CEO at Modulate, builds audio-native voice intelligence for real-time fraud and deepfake detection. He explains why live voice needs specialized, multi-model listening to catch social engineering and adversarial audio signals. The conversation covers ensemble audio models, where they outperform text systems, and how to evaluate voice-AI by speed, accuracy, and adaptability.
13 snips
Mar 19, 2026 • 31min
From Multi Agent Systems to Institutional Learning in the Enterprise - with Papi Menon of Outshift by Cisco
Papi Menon, VP of Product Management and CPO at Outshift by Cisco, builds enterprise agentic AI and incubates emerging tech. He discusses why multi-agent projects stall, the gap between mere connectivity and shared cognitive layers, and how to pick low-risk, high-impact experiments. He also covers interoperability, when to build versus buy, and how to preserve optionality while scaling.
7 snips
Mar 18, 2026 • 35min
Why Financial AI Can't Scale Without Unified Governance with James Dean of Google and Mark Crean of Securiti
James Dean, AI Specialist at Google Cloud who helps banks apply cloud and AI with strong governance, and Mark Crean, Regional VP at Securiti focused on data security and privacy, discuss why fragmented sensitive data stalls finance AI. They cover operational data bottlenecks, aligning security and business teams, automating classification and controls, and building centralized governance to scale AI safely.
22 snips
Mar 18, 2026 • 26min
How Digital Workers Are Changing Industrial Performance - with Somya Kapoor of IFS Loops
Somya Kapoor, CEO of IFS Loops, builds agentic digital workers for industrial AI. She discusses why earlier industrial AI stalled and how task-focused digital workers now automate procurement, field service, and back‑office workflows. Topics include plain‑English workflow authoring, integrating agents with human teams, and governance needs like auditability and supervisor agents.
31 snips
Mar 17, 2026 • 18min
How Walmart Is Reengineering AI Delivery Speed - with David Glick of Walmart
David Glick, SVP of Enterprise Business Services at Walmart, who drives AI delivery and prototyping at scale. He discusses stopwatch-speed prototyping and moving from quarterly roadmaps to super-agile cycles. He covers nanoagent and super agent architectures and how layering task-specific agents replaces monoliths. He also talks about building the factory that produces agents and real-time governance tied to code.
19 snips
Mar 16, 2026 • 48min
Why Supply Chain Design Becomes the Differentiator as AI Automates Planning - with Don Hicks of Optilogic
Don Hicks, CEO of Optilogic and supply chain design expert, leads an AI-native platform that automates network modeling. He discusses why brittle, efficiency-first networks need resilience. He explains planning versus design, how AI automates routine planning, and how human-led what-if design creates future competitive advantage. He outlines getting started with data, quick wins, and shorter deployments.
