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
29 snips
May 13, 2026 • 32min
Why Manufacturing's Most Valuable Data Isn't in Any System — with Anand Gnanamoorthy of Ingersoll Rand
Anand Gnanamoorthy, Director of Corporate Strategy and AI at Ingersoll Rand, works on digitizing tribal knowledge and applying AI to frontline workflows. He discusses the urgency of capturing retiring workers' knowledge. He highlights messy unstructured archives as the biggest untapped asset. He urges anchoring AI to workers, keeping projects perpetually in pilot, and letting AI handle messy data.
8 snips
May 13, 2026 • 28min
Why Predictive AI in Service Only Works on the Right Foundation - with Niken Patel of Neuron7.ai
Niken Patel, CEO and co-founder of Neuron7.ai who builds intelligence layers to make service data AI-ready. He explains why surface-level AI only saves a little. He stresses building a deterministic foundation before predictive models. He covers fragmented data across orgs, sequencing resolutions before prediction, and quickly creating foundations for legacy and connected devices.
8 snips
May 12, 2026 • 23min
Building Predictive Safety Systems in Energy Operations - with Patricio Rivera of Oxy
Patricio Rivera, former VP of HSE International at Oxy and safety leader in energy, describes moving from reactive investigations to predictive safety. He discusses studying green days, using observation data to spot rising risks, accounting for human error through resilient systems, and linking safety practices to business performance.
10 snips
May 11, 2026 • 37min
Fixing the Pilot‑to‑Production Gap in Enterprise AI - with Lawrence Whittle of HTEC Group
Lawrence Whittle, Chief Strategy Officer at HTEC Group and AI-focused engineering leader, walks through why pilots stall and how to get AI into real use. He discusses narrowing scopes, running small real deployments, faster iteration cycles, and building end-to-end value. He also covers regulated industries, vetting vendors for scale, and cultivating a builder mindset and curiosity to multiply productivity.
7 snips
May 5, 2026 • 30min
From Experimentation to Clinical-grade AI in Healthcare - with Alex Tyrrell of Wolters Kluwer
Alex Tyrrell, SVP and CTO of Health at Wolters Kluwer, builds clinical AI and decision support for healthcare. He discusses why pilots must scale to avoid shadow AI. He covers clinical-grade safety, clinician oversight, explainability and audit trails. He highlights workflow fit, balancing speed with safety, and the infrastructure needed to run AI inside regulated systems.
23 snips
May 1, 2026 • 34min
Capturing Tribal Knowledge to Solve the Manufacturing Skills Gap - with Sebastian Dykas of Smith+Nephew
Sebastian Dykas, Director of Manufacturing, Engineering, and Maintenance at Smith+Nephew, specializes in capturing tribal knowledge and modernizing shop floors. He discusses loss of retiring experts, the limits of go/no-go inspections, and how machine connectivity with real-time feedback can standardize training, tighten process baselines, and reduce variability to prevent scrap.
23 snips
Apr 28, 2026 • 26min
Designing Supply Chains for Volatility - with Dr. Gopalendu Pal of Target
Dr. Gopalendu Pal, Director of Operations at Target known for supply‑chain design and simulation‑based decision making, discusses running hundreds of interconnected simulations to reveal enterprise tradeoffs. He talks about how volatility exposes siloed processes. He stresses simplifying and stabilizing workflows before adding AI or automation. Practical ownership and matching AI to real problems are highlighted.
12 snips
Apr 24, 2026 • 37min
Operationalizing Real-Time Voice Intelligence for FinServ and CX - with Ken Morino of Modulate
Ken Morino, Director of Marketing and Behavioral Research at Modulate, explains real-time voice intelligence for fighting voice-based fraud in financial services and contact centers. He outlines where to start, how to tune alerts to reduce noise, and ways to integrate voice AI without ripping out existing systems. He also discusses building auditable workflows, ownership between teams, and why smaller specialized models often win in regulated environments.
34 snips
Apr 21, 2026 • 21min
Building Trustworthy AI for Enterprise Workflows - with Amar Akshat of PaySafe
Amar Akshat, SVP and Chief Architect at Paysafe who builds enterprise-grade AI systems with guardrails. He explores the consistency gap in production AI. He discusses versioned prompts, replayable evaluation, Know Your Agent policy envelopes, auditable agent decisions, and how to codify context to avoid shadow AI and ensure deterministic behavior.
15 snips
Apr 17, 2026 • 22min
Scaling Regulated Data Workflows Without Lock‑In - with Juan Orlandini of Insight
Juan Orlandini, CTO of North America at Insight, is a finance-focused AI and data engineering leader. He warns that generative AI is statistical, not mathematically precise for compliance. He discusses how automation can increase verification work, parsing unstructured PDFs, using vendor controls first, building an AI-ready data layer, avoiding vendor lock-in, and investing in people.
