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The AI in Business Podcast

The AI in Business Podcast

Author: Daniel Faggella

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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
942 Episodes
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Today’s guest is Nathaniel Bell, Director of Data Management at Wells Fargo. Nate joins Emerj Managing Editor Matthew DeMello on the show today to discuss the practical application of AI within internal audit workflows, focusing on tools that are already delivering results. He explains how deterministic models are transforming information gathering, testing internal controls, and identifying risks earlier in the process. The conversation also covers the transition from manual audits to continuous auditing, emphasizing the importance of foundational capabilities like data quality and system integration. For audit and compliance leaders, Nathaniel provides valuable insights into where AI is driving impact today and the ongoing role of human oversight in these processes. This episode is sponsored by MindBridge. 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 Troy Felix, RVP of Sales Engineering at BigPanda. BigPanda is a leading AIOps platform that helps enterprises prevent and resolve IT incidents faster through automation and real-time insights. Troy joins us to explore how automation and real-time data are transforming IT operations. He explains how organizations are using AIOps to reduce alert noise, speed up root cause analysis, and bridge communication gaps between IT, engineering, and SRE teams. Troy also discusses how industries like financial services, healthcare, e-commerce, and managed service providers are evolving from reactive firefighting to proactive, data-driven operations, despite challenges like high alert volumes and fragmented toolsets. We also dive into the stages of AI adoption in IT operations, including key obstacles such as siloed tools, resistance to change, and the need for better observability data. Troy offers a practical view on how AI is improving efficiency, service resilience, and team collaboration. 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 BigPanda. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
Today’s guest is Matt DeLauro, President at SEON Technologies. SEON is a global provider of fraud prevention solutions, leveraging advanced AI and machine learning to help businesses identify and mitigate fraud throughout the customer journey. Matt joins us on today’s show to discuss how SEON is tackling the challenges of modern fraud prevention in an increasingly digital world. Matt shares insights on the limitations of legacy systems and the complexities of data aggregation as fraud threats grow more sophisticated. He explains how “fraud as a service” is making cutting-edge fraud prevention tools more accessible to businesses of all sizes. Matt also discusses the importance of “shifting left” in fraud detection, balancing customer experience with security, and how dynamic friction strategies play a pivotal role in preventing fraud without disrupting user experience. Finally, we explore the role of dynamic arguments in mitigating chargebacks and the differing fraud prevention strategies between retail and financial services. 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 SEON. 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 at Seed Production Innovation in Bayer Crop Science. With over 20 years of experience developing AI and data science solutions across healthcare and agriculture, Patricio joins Emerj Managing Editor Matthew DeMello to explore how machine learning can drive better outcomes across the drug development lifecycle, from research design to clinical deployment. Patricio discusses how AI is optimizing early trial planning, improving participant engagement, and supporting ethical, human-centered decisions at scale. Drawing lessons from both agriculture and life sciences, he emphasizes the importance of connecting technical models with real-world workflows. The conversation also delves into key barriers to AI adoption in clinical settings, including behavioral friction, model transparency, and challenges in orchestrating decision-making across global teams. Patricio offers a grounded perspective on what it takes to move from experimentation to enterprise impact in AI-driven R&D. 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 Emerj’s flagship ‘AI in Business’ podcast!
Today’s guest is Akhil Khunger, VP in Quantitative Analytics at Barclays. Akhil returns to the program to discuss the evolving role of customer-facing AI in financial services and how financial institutions are embedding safety and security measures directly into client-facing systems. He delves into the risks financial services face, such as prompt injection and model jailbreaking, and how firms are balancing user experience with necessary guardrails. Later, he and Emerj Managing Editor Matthew DeMello explore the challenges of building transparent, trustworthy, and resilient AI systems for the next generation of financial services, especially in light of growing regulatory expectations. This episode is sponsored by ActiveFence. 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 Emerj’s flagship ‘AI in Business’ podcast!
Today’s guest is Brice Challamel, Head of AI products and Innovation at Moderna. With experience working across five continents, he brings a global perspective to driving AI adoption, innovation management, and measurable results in life sciences. Brice joins Emerj Managing Editor Matthew DeMello to explore how Moderna is embedding AI into both its tools and corporate culture to scale collaboration, accelerate product development, and improve regulatory outcomes. He breaks down how AI is augmenting human creativity, enhancing team decision-making, and supporting patient engagement efforts, while keeping human insight at the center of AI strategy. Brice also shares lessons from other industries to shed light on what’s ahead for AI in regulated sectors like life sciences, where the technology has the potential to improve operational efficiency, vaccine adoption, and broader public health outcomes. 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 Emerj’s flagship ‘AI in Business’ podcast! This episode is sponsored by MSTRO. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
As enterprises double down on generative AI initiatives, the intersection of data security, privacy, and unstructured data is quickly becoming mission-critical. In this episode, Dimitri Sirota, Co-founder and CEO of BigID, joins the podcast to explore how AI transformation is reshaping enterprise data governance, security, and compliance—and why understanding your “crown jewel” data is essential to building trustworthy AI systems. Dimitri outlines the three major forces driving today’s enterprise data challenges: accelerated cloud migration, a rising tide of global data privacy regulations, and the explosion of generative AI tools that rely on sensitive, unstructured data. He explains how enterprises can gain visibility into their AI programs and the data fueling them, mitigate shadow AI risks, and prepare for the next wave of agentic systems by adopting zero-trust models and real-time monitoring strategies. This episode is sponsored by BigID. Learn how BigID helps enterprises govern AI, mitigate data risk, and stay compliant here.
Today’s guest is Damion Nero, Head of Data Science at Takeda Pharmaceuticals. With over 15 years of experience applying AI, machine learning, and real-world data to drug development and precision medicine, Damion joins Emerj Managing Editor Matthew DeMello to explore the evolving role of AI in drug development and supply chain management. He breaks down how AI is currently streamlining administrative and regulatory tasks, improving efficiency across clinical trials, and saving valuable time for healthcare professionals. Damion also discusses why broader, transformative supply chain efficiencies are still on the horizon, as AI continues to evolve and scale in the pharmaceutical industry. 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 Emerj’s flagship ‘AI in Business’ podcast!
Today’s guest is Marie Flanagan, Director of Product Management in Digital Projects and Solutions at IQVIA, who joins us to explore the overlooked intersection of AI and safety workflows in life sciences. As the industry experiences an explosion in the volume and diversity of data—from social media and call centers to audio and video files—Marie outlines the mounting challenges for pharmacovigilance and the opportunities AI is unlocking for healthcare and life sciences leaders. Marie discusses how advancements in voice-to-text transcription and automation are helping safety teams manage massive datasets, pinpoint potential risks, and reallocate human resources toward high-value activities like signaling and benefit-risk management. She also shares insights into where human expertise remains essential, particularly in interpreting complex clinical contexts that AI alone cannot fully capture. 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 Emerj’s flagship ‘AI in Business’ podcast!
Today’s guest is Akhil Khunger, VP of Quantitative Analytics at Barclays. Akhil joins us to explore how financial institutions are modernizing stress testing, risk modeling, and strategic planning through AI. Throughout the episode, Akhil discusses the evolving architecture of financial models — specifically how modular, decoupled processes can speed up regulatory compliance and empower faster decision-making. He outlines how AI-powered code generation and user-friendly APIs are enabling more targeted scenario analysis without compromising performance across large, complex portfolios. Later, we highlight how global teams are leveraging AI to reduce dependency on legacy tech stacks and streamline business planning across jurisdictions. 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 Automation Anywhere. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
Today’s guest is Raheel Retiwalla, Chief Strategy Officer at Productive Edge — a digital transformation consultancy focused on healthcare. Productive Edge works with payers, providers, and health tech firms to leverage AI, data, and modern platforms to streamline operations, cut costs, and improve outcomes. With two decades of experience in digital transformation and AI strategy across regulated industries, Raheel joins Emerj Managing Editor Matthew DeMello on the show today to explore the emerging role of agentic AI in enterprise healthcare. He unpacks what agentic AI is, how it differs from traditional models, and why it’s set to change how healthcare leaders think about workflows, orchestration, and automation. This episode is sponsored by Productive Edge. Learn how brands work with Emerj and explore media options at emerj.com/ad1.
On today’s episode, we’re joined by Shub Agarwal, author of Successful AI Product Creation: A 9-Step Framework available from Wiley and a professor of the University of Southern California teaching AI and Generative AI product management to graduate students. He is also Senior Vice President of Product Management for AI and Generative AI at U.S. Bank. Shub joins Emerj’s Managing Editor Matthew DeMello on the show today to offer his perspective on what responsible AI adoption truly looks like in a regulated environment - and why method matters more than models. With over 15 years of experience bringing enterprise-grade AI products to life, he explains why “AI is the new UX” - and what that means for the future of digital interaction in banking and beyond. He also dives into the nuances of responsible AI adoption - not as a buzzword but as a framework rooted in decades of data governance and enterprise rigor. The opinions that Shub expresses in today’s show are his own and do not reflect that of U.S. Bank, the University of Southern California, or their respective leadership. This episode is sponsored by Searce. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
In this episode of the AI in Business Podcast, Brett Kiley, Executive Director of Customer Experience and Client Solutions at CVS Health, joins us for a compelling discussion on the evolving landscape of customer interactions. With over two decades of experience, Brett shares how CVS navigates the challenges of personalization, efficiency, and seamless service across their retail, pharmacy, and health services divisions. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1. 
Today’s guest is Michael Berger, Head of Insure AI at Munich Re. Michael returns to the Emerj podcast platform to discuss the impact of legislation such as the EU AI Act on the insurance industry and broader AI adoption. Our conversation covers how regulatory approaches differ between the United States and the European Union, highlighting the risk-based framework of the EU AI Act and the litigation-driven environment in the U.S. Michael explores key legal precedents, including AI liability cases, and what they signal for business leaders implementing AI-driven solutions. 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 Steffen Hoffmann, Managing Director of Bosch UK. Steffen joins the podcast to discuss how Bosch is leveraging AI across industries, from precision agriculture to HR automation and manufacturing quality control. Throughout our conversation, Hoffmann gives a revealing insight into how Bosch’s AI-driven black grass detection system is helping farmers reduce chemical use and lower costs by precisely targeting affected areas. He also explores Bosch’s history of deploying AI-driven solutions, from early automotive transmission control systems to smart home appliances that adapt to user behaviors. In manufacturing, Bosch is leveraging AI to enhance quality control, with AI-powered inspection systems identifying defects and optimizing production efficiency. 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 Paul Ronan, Chief Technology Officer at FE fundinfo. FE fundinfo is a leading financial data company connecting the investment industry in the UK, Europe, and Asia Pacific through a single integrated platform. With over 30 years of expertise, FE fundinfo empowers asset and wealth managers to streamline operations, improve client outcomes, and make confident, data-driven decisions. In this episode, Paul joins us to discuss how industry leaders are adopting AI to enhance efficiency, improve client personalization, and redefine operational models. While some firms embrace AI as a strategic imperative, others remain cautious due to concerns over data quality and regulatory uncertainty. The conversation explores the shift toward outcome-driven AI programs and the strategies firms need to navigate the evolving investment industry landscape. This episode is sponsored by FE fundinfo. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. 
Today’s guest is Dan Elton, a Staff Scientist at the National Human Genome Research Institute (NHGRI) at the National Institutes of Health (NIH). Dan returns to the program to explore how AI is advancing genetic research, from protein engineering to gene editing and risk prediction. One of the most significant breakthroughs in this space is AlphaFold, DeepMind’s AI model that predicts protein structures with unprecedented accuracy. While it does not analyze genetic sequences directly, its ability to model protein folding is transforming drug development and protein engineering. Dan also discusses the potential for AI to improve polygenic risk prediction, where machine learning models are being applied to assess disease risk based on genetic markers. 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 Ben Webster, VP of AI Solutions at NLP Logix. NLP Logix is a fast-growing AI services firm based in Florida that serves both the public and private sectors. Ben returns to the program to explore the complexities of de-identifying patient data for AI-driven healthcare applications. Hospital chains are increasingly leveraging first-party data assets to ensure compliance while maintaining the analytical power needed for AI models. However, achieving proper de-identification is often costly, time-intensive, and difficult to scale across multiple use cases. This episode is sponsored by NLP Logix. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
Today’s guest is Nishtha Jain, Head of Innovation and Digital Technology at Takeda Pharmaceuticals. Nistha returns to the program to discuss the transformative impact of AI across the pharmaceutical value chain. She and Emerj Editorial Director Matthew DeMello explore how AI is improving drug development efficiency, addressing data challenges, and overcoming regulatory hurdles. She highlights key breakthroughs like Google DeepMind’s AlphaFold and AI-assisted clinical trial optimization, emphasizing the potential for faster, more cost-effective drug development. The discussion also covers the challenges of AI adoption, including data accessibility, regulatory compliance, and ethical considerations like bias in AI models. 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 Nick Lewis, Managing Director for the High Risk Client Unit at Standard Chartered Bank. Nick joins today’s show to discuss the shifting landscape of fraud prevention and AML compliance in financial services. As governments increasingly shift regulatory responsibilities onto the private sector, banks find themselves at the forefront of both enforcement and risk management. Lewis highlights how sanctions regimes have evolved, pushing financial institutions to shoulder greater due diligence responsibilities with fewer resources. His conversation with Emerj Editorial Director Matthew DeMello also explores the broader implications of this public-private realignment, including the increasing reliance on AI-driven detection methods and the complexities of prioritizing financial crime risks. Lewis underscores the growing role of banks in addressing crimes such as human trafficking, despite the lack of formal mandates, and how AI could enhance collaboration with law enforcement to identify and mitigate emerging threats. 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!
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Mar 4th
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Zazzy Jan

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Oct 22nd
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Tracey Drake

Congratulations to Dan on his patience in this episode, with a completely uncooperative guest. Not worth the time.

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