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
8 snips
Apr 2, 2026 • 30min
How Digital K‑1 Data Changes Tax Workflow Maturity - with Ken Powell and Neal Schneider
Ken Powell, Chief Revenue Officer at K1x, drives adoption of digital K‑1 platforms to show ROI. Neal Schneider, Co‑founder and CTO at K1x, builds AI tax tech to standardize private market data. They discuss digitizing K‑1s to free workflows from PDFs. They cover open interoperable systems, partnership schemas, a maturity model for data workflows, and paths to incremental adoption and ROI.
18 snips
Apr 1, 2026 • 40min
Closing the Customer Service Gap: How AI Is Redefining Scale, Speed, and Satisfaction - with Philipp Heltewig of NiCE
Philipp Heltewig, Chief AI Officer at NICE who builds cloud-native CX and contact-center automation, discusses shifting from reactive support to proactive AI-driven customer experience. He covers multilingual scaling, proactive outbound automation, API and knowledge-base design for AI agents, and measuring resolution quality over simple deflection metrics.
7 snips
Mar 31, 2026 • 21min
Creating a Single Source of Truth for Enterprise Legal Work - with Christo Siebrits of AbbVie
Christo Siebritz, Senior Associate and General Counsel at AbbVie with expertise in legal AI governance, explains building a validated internal LLM environment. He discusses training teams, aligning with the EU AI Act, categorizing risk tiers, and why legal should join projects early. He also covers forced-ranking use cases to focus resources and avoid duplication.
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.
41 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.
12 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.
