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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 AI Research CEO Daniel Faggella and team 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

The AI in Business Podcast

Today’s guest is Joe Lang, Vice President of Service Technology and Innovation at Comfort Systems USA — a leading national provider of mechanical, electrical, and plumbing building systems services, with more than 45 operating companies across 170+ locations. Joe shares insights on managing data complexity in large field service operations — from translating tribal knowledge into clean, usable data to building internal tools that treat technicians like their own customers. He explains why cleaning data too early can slow progress, how AI tools can gradually align terminology across legacy teams, and which KPIs matter most when moving from reactive to predictive service. This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast!

Turning Legacy Service Contracts into First Time Fix Wins - with Joe Lang of Comfort Systems

Today’s guest is Amit Gupta, Chief Digital Officer, Life Sciences Manufacturing Industry, at Danaher. Amit returns to the program to share the operational playbook behind building enterprise-ready AI infrastructure. While AI headlines tend to focus on models, Amit emphasizes that success begins with what’s underneath — the data. He outlines a four-part architecture that includes data aggregation, integration, transformation, and harnessing, walking listeners through how Danaher built a system that enables — not constrains — AI deployment. He also explores how tiered storage strategies address not just technical needs, but real-world challenges in compliance, cost control, and security. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Pure Storage. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Storage Strategies That Keep GenAI on Budget - with Amit Gupta of Danaher

Today’s guest is Sidharth Ojha, Head of Process Optimization in Data and AI at the AXA XL Global Underwriting Office. AXA XL is the property and casualty and specialty risk division of AXA, serving mid-sized companies and large multinationals across more than 200 countries and territories. In this episode, Sidharth breaks down where insurers are seeing real GenAI adoption beyond the back office — including use cases in underwriting efficiency, regulatory alignment, and internal risk triage. He discusses how summarization tools are evolving into more advanced applications like quote comparison and submission prioritization, helping insurers shift from cost savings to growth-focused outcomes. We also explore how AI is helping insurers unlock unstructured policy data and why data governance is critical for enabling the prescriptive workflows many organizations are aiming toward. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

AI Use Cases Streamlining Commercial Insurance Operations - with Sidharth Ojha of AXA XL

In today’s enterprise landscape, many AI initiatives stall before delivering real business value—especially in service operations, where data lives in disconnected systems and frontline speed is critical. For Amit Gupta, Chief Digital Officer, Life Sciences Manufacturing Industry, at Danaher, overcoming these challenges requires a structured, business-first approach. On this episode of the AI in Business podcast, Amit shares how Danaher uses a 70/30 buy-versus-build strategy to accelerate time to value while maintaining flexibility. He details a step-by-step framework for identifying high-impact AI use cases, involving cross-functional teams early, and guiding projects from strategic concept to measurable results—what he calls moving from “strat to street.” Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Moving from Pilot to Profit in Service AI Deployments - with Amit Gupta of Danaher

Today’s guest is Kelly Dempski, Head of Solutions for Banking, Financial Services, and Insurance (BFSI) at Turing. Turing is one of the world’s fastest-growing Artificial Intelligence companies, working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that help businesses solve their toughest problems — delivering real business results, faster, smarter, and at scale. Kelly is a seasoned technology executive and innovator at Turing, where he leads the development of disruptive, business-focused Artificial Intelligence solutions for financial services clients. Over a 30-year career, he has held Managing Director roles at Accenture, Citi, and JPMorgan Chase, as well as working with smaller start-ups. In each role, he has developed solutions that leverage the latest technologies to solve real business problems. As AI becomes increasingly essential to the financial services industry, Kelly offers a grounded perspective on what really makes or breaks enterprise adoption. He explains that the greatest challenges aren’t always in the AI models themselves — but in how they connect to legacy systems, regulatory requirements, and fragmented data environments. From document intelligence to client onboarding, Kelly explores the use cases where AI is already delivering measurable value — and how firms can scale that value by starting small and building momentum. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Turing. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Turning AI Vision Into Value in Financial Services - with Kelly Dempski of Turing

Today’s guest is Dr. Steffen Hoffmann, Managing Director of Bosch UK. Dr. Hoffmann joins Emerj Editorial Director Matthew DeMello to explore the strategic deployment of AI across industrial sectors, from manufacturing operations to internal business systems. Dr. Hoffmann shares how AI is helping manufacturers address upstream process variables to reduce defect rates and improve efficiency. He also discusses the importance of “human in the loop” oversight in regulated environments, and how Bosch’s internal deployment of generative AI — starting with an HR assistant — serves as a model for cautious, business-aligned innovation. The conversation explores industrial applications of AI governance, the role of internal use cases in de-risking new technologies, and the broader cultural conversation around balancing AI’s risks and rewards. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Ethical AI Solutions and Their Impact on Life Sciences and Beyond - with Dr. Steffen Hoffmann of Bosch

What does it really take to bring AI into the heart of financial services—and why are so many firms still stuck in manual mode? In this episode of the ‘AI in Business’ podcast, Frank Hattann, Chief Commercial Officer at Ocorian, joins Emerj Editorial Director Matthew DeMello to explore how legacy financial institutions can unlock real commercial value from AI without losing the human touch. Frank draws from his unique background across Microsoft, PayPal, and professional services to explain why mindset — not just infrastructure — is the true bottleneck to transformation. From improving top-of-funnel outreach to redefining service pricing in an AI-supported world, the conversation breaks down what’s possible today and what’s at stake for firms that delay. Frank also addresses common misconceptions about AI adoption, offers tactical advice for commercial leaders, and highlights how firms can shift from reactive workflows to proactive, data-informed systems — without getting overwhelmed by technical complexity. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by FE fundinfo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Scaling Growth in Asset Management with AI-Ready Data - with Frank Hattann of Ocorian

Today’s guest is Ryan Anderson, CEO and Founder of Filevine. Filevine is a cloud-based enterprise legal practice management platform that automates and centralizes workflows—covering case and document management, contract lifecycle, client communication, billing, e-signatures, analytics, and AI‑powered insights. Ryan joins Emerj Editorial Director Matthew DeMello on today’s show to discuss how enterprise legal teams can move from reactive to proactive operations with the help of agentic AI systems. As legal departments face unprecedented data volume and complexity, Anderson outlines a vision for AI-enabled workflows that preserve human judgment while surfacing the right insights at the right time. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Filevine. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Overcoming Compliance Challenges in Legal AI Adoption - with Ryan Anderson at Filevine

Today’s guest is Patricio La Rosa, Head of End-to-End Decision Science in Seed Production Innovation at Bayer Crop Science. Patricio joins the AI in Business podcast to explore how AI is transforming the clinical trial lifecycle, from biomarker discovery to long-term patient engagement. Drawing on his academic expertise, Patricio explains how AI-powered systems such as metagenomics, NLP, and multimodal sensing are helping researchers identify robust biomarkers and predict patient outcomes more effectively. He emphasizes the importance of reproducibility, effect traceability, and the scalability of sensing modalities from trial design to clinical practice. Patricio’s discussion with Emerj Editorial Director Matthew DeMello then shifts to the human element — how to build trust with patients, improve adherence, and balance transparency with innovation. With deep insight and clarity, Patricio challenges industry leaders to rethink clinical trials not just as scientific protocols—but as collaborative, data-driven partnerships with future customers. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

Enhancing Clinical Workflows and Optimizing Efficiencies - with Patricio La Rosa at Bayer

Today’s guests are Dwight Hill, Head of Retail & Consumer Products at Turing, and Joe Troy, Senior Manager of Site Risk at Amazon. Turing is one of the world’s fastest-growing Artificial Intelligence companies, working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that help businesses solve their toughest problems —delivering real business results, faster, smarter, and at scale. Joe and Dwight join Emerj Editorial Director Matthew DeMello to examine how generative AI is delivering measurable value in retail, starting with loss prevention and expanding across store operations, marketing, and workforce strategy. Throughout the episode, Joe shares how AI-powered video analysis and behavioral intelligence tools are helping risk teams surface anomalies faster, reduce investigation time, and prevent insider threats. In turn, Dwight discusses how retailers are using GenAI to optimize pricing, personalize customer experiences, and streamline marketing campaigns — emphasizing the importance of unified data and human-in-the-loop execution. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Turing. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Accelerating Retail & CPG Transformation through AI Solutions - with Dwight Hill of Turing and Joe Troy of Amazon

This is the final episode in the month-long series on getting started with AI. In this episode, Emerj CEO Daniel Faggella breaks down the key insights from all four of this month's interviews, distilling them into core best-practices for getting started with artificial intelligence in business. In addition, Daniel discusses insights from our newest report:
 
Getting Started with AI: Proven Best-Practices for AI Adoption

Getting Started with AI, Best-Practices - With Daniel Faggella of Emerj

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