The AI in Business Podcast
A leading podcast for non-technical business leaders to learn about practical AI deployment and ROI. Emerj Artificial Intelligence Research CEO Daniel Faggella interviews top AI executives, entrepreneurs, and Fortune 500 leaders on use cases and best practices for adopting AI in the enterprise. Topics include finding AI opportunities, aligning AI with strategy, and delivering business value from AI across industries.
Why Deepfake Fraud Beats Your Workflows, Not Your Technology - with Jon-Rav Shende of Thales Group
In this episode, Global CTO for Data and AI at Thales Group, Jean‑Rav Shende, explains that deep‑fake voice fraud exploits the human workflow of contact‑center agents rather than just the underlying technology. He highlights that the greatest risk occurs where identity verification, urgency, and high‑value business actions converge—such as claims processing, password resets, and executive‑level requests. Shende outlines a four‑step framework: map high‑risk voice journeys, define evidence chains, set risk thresholds, and integrate AI signals into real‑time decision controls, emphasizing shared ownership across security, operations, and customer experience. The discussion underscores the need to focus on process controls and evidence‑based escalation rather than piling on more detection tools.
Scaling Scientific R&D with AI Supercomputing Infrastructure — with Thomas Fuchs of Eli Lilly
In this episode, Thomas Fuchs, Chief AI Officer at Eli Lilly, explains how the company is building an AI‑ready supercomputing platform—based on NVIDIA’s DGX SuperPod B300 architecture—to accelerate drug discovery, development, and manufacturing. He highlights that the massive compute power lets...
The Architecture Shift Behind Reliable Enterprise AI - with Ravi Marwaha of Arango
In this episode, Ravi Marwaha, COO and Chief Technology Product Officer at Arango, explains why AI pilots often succeed in isolated settings but fail to scale enterprise‑wide. He argues that the real bottleneck is fragmented, inconsistent context—not model performance—and that...
Why Manufacturing's Most Valuable Data Isn't in Any System — with Anand Gnanamoorthy of Ingersoll Rand
In this episode, Anand Gnanamoorthy, Director of Corporate Strategy and AI at Ingersoll Rand, explains that the most valuable manufacturing data resides not in structured systems but in unstructured archives and the tribal knowledge of frontline workers. He outlines three...
Why Predictive AI in Service Only Works on the Right Foundation - with Niken Patel of Neuron7.ai
In this episode, Nikan Patel, CEO and co‑founder of Neuron7.ai, explains that predictive AI in service only succeeds when companies first build a deterministic, AI‑ready intelligence layer that unifies fragmented service data across departments. He highlights how many organizations settle...
How Digital Transformation Shortens the Path to Clinical Trials - with Dr. Gopalendu Pal of Target
In this episode, Dr. Gopalendu Pal, Director of Operations at Target, explains how heightened supply‑chain volatility—from COVID‑19 disruptions to tariff shocks—exposes the limits of traditional, siloed scenario planning. He argues that enterprises must run hundreds of interconnected simulations, using AI‑driven...
Scaling Regulated Data Workflows Without Lock‑In - with Juan Orlandini of Insight
In this episode, Juan Orlandini, CTO of North America at Insight, explains how finance leaders can modernize chaotic, regulated data environments by integrating AI thoughtfully rather than layering it on outdated systems. He stresses that generative AI excels at pattern...
Connecting Forecasting and Warehouse Decisions at Scale - with Jerod Hamilton of Tyson Foods
In this episode, Jerod Hamilton, Director of 3PL Warehouse Strategy at Tyson Foods, explains why modern distribution centers struggle with efficiency due to fragmented planning systems and static facility designs that quickly become outdated. He highlights how multiple, siloed forecasts...
Decentralized Trials That Scale Globally Without Compliance Risks - with Emma Vitalini of Amgen
In this episode, Emma Vitalini, Head of Global Digital Health Technology Innovation at Amgen, discusses how AI and decentralized trial technologies are transforming patient recruitment, screening, and global trial accessibility. She explains that AI can rapidly parse unstructured genomic and...
Managing Third-Party Risk at Scale Without Drowning in Surveys - with Carey Smith
In this episode, Carey Smith, Chief Technology Innovation Officer at Blue Cross and Blue Shield of Minnesota and President/CIO of Accelerate Health, explains how enterprises can move from static vendor questionnaires to continuous, AI‑driven monitoring of thousands of suppliers. She...
Why Supply Chain Design Becomes the Differentiator as AI Automates Planning - with Don Hicks of Optilogic
In this episode, Don Hicks, CEO of OptiLogic, explains how AI‑native platforms are reshaping supply chain design by running planning and network design in parallel, turning supply chains from brittle, cost‑centric structures into resilient, flexible networks. He contrasts fast, heuristic‑driven...
AI for Better Customer Connections in CX - with Joe Atamian of Comcast
In this episode, Joe Atamian, VP of Inside Sales at Comcast, explains how contact centers lose customer context when interactions jump across IVR, chat, and voice, leading to frustration, longer handle times, and eroded trust. He advocates an AI‑first approach...
Turning Real World Data Into Safer Outcomes for Fleets and Physical Operations - with Hemant Banavar of Motive
In this episode, Matthew DeMello talks with Hemant Banavar, Chief Product Officer at Motive, about applying purpose‑built AI to the physical economy—industries like transportation, construction, and energy that make up about half of global GDP but have been under‑served by...
Data Solutions for Tailoring Agronomic Support to Meet Regional Needs - with Tami Craig Schilling of Bayer Crop Science
In this episode, Matthew DeMello interviews Tami Craig Schilling, Bayer Crop Science’s VP of Agronomic Digital Innovation, about how generative AI is used to deliver hyper‑local agronomic recommendations throughout the planting cycle. They discuss tools like the zip‑code‑based ELI platform...
Why Post-Merger Integrations Fail Without Data Governance - Sandro Venturini of UBS
In this episode, Sandro Venturini, Executive Director at UBS Asset Management, explains how fragmented fund data undermines post‑merger integrations and why establishing a single source of truth through data governance is essential for successful AI‑driven compliance and reporting. He illustrates...