Artificial Intelligence In Industry With Dan Faggella

In this episode of the ‘AI in Business’ podcast, Nathaniel Bell, Data Management Director at Wells Fargo, returns to discuss the evolving role of AI in risk management, compliance, and enterprise automation in banking. Host and Emerj Editorial Director Matthew DeMello and Nathaniel explore how financial institutions can balance innovation with caution as deterministic, generative, and agentic AI technologies move from experimentation to production. He goes on to outline how simple automation and deterministic models are already creating meaningful efficiencies in audit workflows and compliance reporting—areas where rules-based logic remains dominant. 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 Kandie Ibaka, Vice President and Sanctions Control Officer for International Investigations and Emerging Sanctions in Advisory Controls and Executions at Citi. Kanide joins Emerj Editorial Director Matthew DeMello to discuss how compliance leaders are navigating today’s rapidly shifting regulatory landscape. With global sanctions evolving at an unprecedented pace, Kandie shares how financial institutions are moving beyond basic monitoring to real-time risk interpretation, operational alignment, and strategic response. 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!

In this episode of the ‘AI in Business’ podcast, Deep Srivastav, Chief AI Officer at Franklin Templeton, shares a candid view into the evolving role of AI in wealth and asset management — and how enterprises can move beyond isolated use cases to reshape core business capabilities. Deep unpacks the unique challenges financial firms face when implementing AI, from managing high-stakes accuracy and regulatory demands to harmonizing siloed data systems and building long-term ROI. He outlines Franklin Templeton’s own approach to building a successful AI roadmap, highlighting how cross-functional collaboration and a focus on transforming full business processes — rather than piecemeal experimentation — have proven key to sustained impact. 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. FE fundinfo is a leading financial data company connecting the inve

In this episode of the ‘AI in Business’ podcast, Scott Bradley, VP of AI and Innovation at Novartis, returns to discuss how AI is reshaping decision-making at the earliest stages of drug development—and what that means for the future of pharma investment strategy. Host Matthew DeMello and Scott explore how the pharmaceutical industry is transitioning from intuition-led portfolio choices to data-driven precision. They discuss the growing influence of AI in identifying viable drug candidates, designing complex proteins, and even solving long-standing manufacturing challenges. Scott also highlights the impact of AI on shifting portfolio dynamics—enabling pharma companies to target smaller, more specific patient populations and scale up development across a wider range of therapies. With AI now central to everything from molecule discovery to commercialization, the conversation offers a window into how life sciences organizations must adapt both structurally and strategically to stay competitive. Want to share yo

In this episode, Mathew Paruthickal — Global Head of Data Architecture, Utilization, and AI Engineering at Sanofi — joins Emerj Editorial Director Matthew DeMello to explore how AI is reshaping clinical trial operations at scale. He shares how Sanofi is leveraging advanced data strategies to address longstanding bottlenecks in trial design, safety signal detection, and site performance prediction. Mathew outlines the architectural and operational shifts required to move from isolated AI pilots to enterprise-wide transformation. From document intelligence to real-time data orchestration, he details how Sanofi is building integrated, compliant systems that support faster, more informed decision-making across teams and therapeutic areas. 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 Medable. Learn how brands work with Emerj and other Emerj Media options at eme

Today’s guest is Oleg Savin, Enterprise Architect and MES Expert at Unilever. Oleg is a frequent guest speaker at manufacturing conferences worldwide, including this year’s Smart Manufacturing Excellence Summit in Munich. He returns to the program today to discuss use cases in why neurobiological and cybernetic AI capabilities for manufacturers and why it’s imperative for industrial leaders to understand the difference. 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 Shawn Rosemarin, Vice-President of R&D in Customer Engineering at Pure Storage, a leader in cloud-based infrastructure and storage-as-a-service solutions designed to enhance operational efficiency and sustainability. Shawn joins the podcast to explore the critical role of storage efficiency in scaling AI. As businesses accelerate AI adoption, modern, power-efficient infrastructure becomes essential. Shawn discusses the challenges posed by legacy systems, highlighting how outdated storage technologies consume excessive power and limit scalability. He explains how transitioning to advanced flash storage reduces energy consumption and allows enterprises to scale AI applications more effectively. If you’re looking to future-proof your infrastructure and optimize storage for AI growth, this episode provides key insights on building a sustainable, scalable foundation. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential fu

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 potenti

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 shar

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 fi

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 enter

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!

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, a

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 pote

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 op

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

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!