Artificial Intelligence In Industry With Dan Faggella

Today’s guest is Madhav Madaboosi, who is with bp. Madhav Madaboosi leads a global Digital Transformation Team in Future Midstream and Strategy at bp, where he is involved in leading initiatives spanning supply chain, logistics, energy movement, and customer-facing operations. With over two decades of experience in AI, advanced analytics, strategy, and portfolio management, he specializes in driving enterprise-wide transformation that bridges business strategy and digital innovation. bp is an integrated energy company operating across oil, gas, and low-carbon energy solutions, with a presence in more than 60 countries. Madhav joins Emerj Editorial Director Matthew DeMello to explore how companies can operationalize digital transformation at speed and scale — balancing short-term ROI with long-term infrastructure goals. He shares insights on aligning transformation roadmaps with both regulatory and commercial imperatives, emphasizing the role of culture, frontline engagement, and digital literacy in driving su

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!

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.

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 gu

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 Emer

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 ma

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’v

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.

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.

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

Today’s guests are Dwight Hill, Vice President 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 experien

For decades, manufacturers have relied on traditional dashboards that often fell short when it came to understanding the complexity of real-time operations. In this episode of the ‘AI in Business’ podcast, Microsoft’s Rad Desiraju and NVIDIA’s Mike Geyer explore how AI-powered 3D digital twins and real-time simulation are transforming the way manufacturers monitor, collaborate, and optimize production environments. The conversation begins with a breakdown of how dashboards have evolved—from static displays of sensor data to immersive, simulation-based platforms driven by AI. Rad and Mike then dive into the technical backbone behind today’s most advanced digital twin solutions, including edge computing, accelerated computing, and frameworks like Azure Arc and Omniverse. This episode is sponsored by Microsoft and NVIDIA. 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 b

Today’s guest is Bryan Willett, Chief Information Security Officer at Lexmark, joining Emerj Senior Editor Matthew DeMello to explore how organizations can navigate the trade-offs between cloud and on-prem AI deployments—balancing speed to market, cost efficiency, and the protection of sensitive data. Bryan also emphasizes the importance of a strong governance triad—security, privacy, and AI teams working together—to ensure ethical, compliant, and effective AI adoption. From managing data surges in IoT and biometrics to creating hybrid storage strategies, he shares actionable insights for leaders in security, IT, and AI strategy. This episode is sponsored by Pure Storage. 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!

Today’s guest is Marie Flanagan, Director of Product Management in Digital Projects and Solutions at IQVIA. Marie returns to the program to unpack how AI and automation technologies are transforming drug safety workflows. Together with Emerj Editorial Director Matthew DeMello, she shares how IQVIA uses natural language processing (NLP) built on safety-specific training data to surface early signals from massive, multilingual datasets. She also explains why combining NLP with automation tools, such as RPA and OCR, leads to higher accuracy in adverse event detection, especially across social media and non-traditional data channels. 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!

Today’s guest is Zar Toolan, General Partner and Head of Data & AI at Edward Jones, joining Emerj Senior Editor Matthew DeMello to explore how AI can be strategically aligned with corporate goals in financial services. Zar shares his perspective on overcoming barriers to AI adoption, the critical build-versus-buy-versus-partner decisions, and the human-centered change management required for scalable AI transformation. He also discusses the importance of responsible AI principles, leveraging data as a competitive asset, and evolving talent strategies to thrive in today’s intelligence age. This episode is sponsored by EPAM. 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!

Today’s guest is Bryan Willett, Chief Information Security Officer. Bryan discusses how organizations can shift security from a reactive compliance task to a strategic advantage by leveraging AI partnerships and transparent communication. He explains how proactive security packages and AI-driven tools streamline vendor due diligence and RFP responses, reducing bottlenecks and improving cross-team collaboration. Bryan also emphasizes the importance of evaluating vendor development hygiene and maintaining developer awareness as key components to managing evolving AI-enabled cyber threats. 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!

Today’s guest is Miranda Jones, SVP of Data & AI Strategy at Emprise Bank. Miranda returns to discuss the evolving reality of responsible AI in the financial services sector. As generative and agentic systems mature, Jones emphasizes the importance of creating safe, low-risk environments where employees can experiment, learn prompt engineering, and develop a critical understanding of model limitations. She explores why domain-specific models outperform generalized foundational models in banking—where context, compliance, and communication style are essential to trust and performance. The episode also examines the strategic value of maintaining a deliberate pace in adopting agentic AI, ensuring human oversight and alignment with regulatory expectations. 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!

Today’s guest is Neil Bhandar, Chief Data Analytics Officer for Generac. Neil brings decades of experience in artificial intelligence, from academic research to enterprise-scale implementation across manufacturing and financial services. He joins Emerj Managing Editor Matt DeMello to explore the hidden costs of building AI in-house, the risks of over-relying on large models, and how service organizations can deploy GenAI to improve efficiency and preserve institutional knowledge. Neil shares how GenAI is helping field teams access hard-to-find information in real-time — reducing the need for costly site visits and accelerating issue resolution. He also explains why human empathy remains essential in last-mile service roles, even as AI tools take on more diagnostic and decision-making responsibilities. Finally, Neil offers practical advice for enterprise leaders evaluating AI partnerships — emphasizing cultural alignment, modularity, and the need to protect what makes their organizations uniquely competitive.

As global food demand accelerates, the agricultural sector faces rising pressure to innovate faster, safer, and more sustainably. Today’s guest on the ‘AI in Business’ podcast is Brian Lutz, the Vice President of Agricultural Solutions at Corteva Agriscience, the world’s leading pure-play seed and crop protection company. Brian joins Emerj Senior Editor Matthew DeMello to discuss their partnership with Deloitte to drive AI for discovery across biology and chemistry in agriculture. He explains how Corteva integrates AI into every phase of R&D — from genetic optimization in seeds to molecule discovery in crop protection. 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 Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Neil Bhandar, Chief Data Analytics Officer for Generac. Generac is a U.S.-based industrial manufacturer that designs and produces a wide range of power solutions—including portable, residential standby, commercial, and industrial generators, along with automatic transfer switches and related accessories. Neil joins Emerj Editorial Director Matthew DeMello on today’s show to explore how companies can make smarter decisions around compute and storage—without falling into the trap of overbuilding for marginal gains. Drawing from his deep background in both business and analytics, Bhandar explains why many infrastructure conversations go off-course by starting with technical specs instead of strategic outcomes. He shares real-world examples of when less compute — and less data — actually delivers more value and why thinking in 3–6 month increments is key to making sustainable, cost-effective choices in today’s fast-moving AI landscape. Want to share your AI adoption story with executive peers? Click emerj.com/exp