The AI in Business Podcast

Today’s guest is Tim Burge, Director at Aquant. Aquant is an AI platform built for service teams that maintain and repair complex equipment. It gives clear, accurate answers to service questions — from basic fixes to deep diagnostics — so field techs, call centers, managers, and customers can get to solutions faster. Used by top manufacturers like Siemens and Hologic, Aquant helps reduce downtime, lower service costs, and boost customer satisfaction. Tim joins Emerj Editorial Director Matthew DeMello for today’s conversation to discuss how manufacturing leaders are reevaluating their AI deployment strategies across field service and operations. As the dust settles on the generative AI hype cycle, organizations are moving past the build-versus-buy binary and embracing hybrid approaches. Tim explains why service departments in particular require a specialized lens for AI implementation and shares how leaders can optimize time-to-value, improve data quality, and drive adoption across legacy environments. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 [http://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 [http://emerj.com/ad1].

In this episode of the ‘AI in Business’ podcast, Principal Group Product Manager Will Guyman of Microsoft and Senior Director Lyndi Wu of NVIDIA explore how healthcare providers are deploying AI at scale to drive clinical and operational transformation. With host Matthew DeMello, they discuss the combined power of NVIDIA’s GPU acceleration and Microsoft’s Azure cloud to enable seamless AI integration—from the exam room to the data center. Will explains how AI is alleviating administrative burdens, improving imaging diagnostics, and reshaping physician workflows through ambient documentation and agentic systems. Lyndi expands on the infrastructure demands of scaling these systems, highlighting NVIDIA’s full-stack ecosystem approach and the role of healthcare startups in fast-tracking AI deployment across hospitals and life sciences organizations. This episode is sponsored by Microsoft and NVIDIA. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1 [http://emerj.com/ad1]. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 [http://emerj.com/expert2] for more information and to be a potential future guest on the ‘AI in Business’ podcast!

Enterprise leaders are no longer asking if they should adopt AI — the question is how to do it effectively. In this episode, Emerj Editorial Director Matthew DeMello speaks with James Raybould, SVP and GM of Turing Intelligence at Turing, about what distinguishes successful enterprise AI deployments from stalled pilots. 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. James outlines three critical factors that determine whether an AI initiative gets traction: business alignment, workforce readiness, and infrastructure. He explains why companies that start with the technology — instead of the problem — are likely to fall behind, and what it really means to prepare a workforce for AI when automation changes the expectations of work quality and speed. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 [http://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 [http://emerj.com/ad1].

In this second of a two-part series, Nick Lewis, Managing Director for the High Risk Client Unit at Standard Chartered Bank, returns to the AI in Business podcast to unpack the ongoing transformation of anti-financial crime efforts in an increasingly digitized world. In this episode, Nick and Emerj Editorial Director Matthew DeMello examine the persistent tension between rule-based alert systems and the nuanced, judgment-driven work of human investigators in financial crime prevention. Nick highlights how current AML workflows still rely heavily on deterministic systems that struggle to distinguish legitimate anomalies from criminal behavior—and why AI solutions must be deployed carefully to avoid removing critical human oversight. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 [http://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!

Fraud in retail is evolving fast — from return scams to first-party misuse that blurs the line between customer error and criminal intent. In this episode of the ‘AI in Business’ podcast, Naveen Kumar, Director of Financial Crimes at Walmart and former PwC fraud specialist, joins Emerj Editorial Director Matthew DeMello to discuss how AI, automation, and policy analytics are reshaping fraud detection strategies in retail and beyond. Naveen outlines the expanding threat surface across digital touchpoints and the rise of personalized, context-aware fraud. He shares how Walmart’s financial crimes team applies signal-based analysis, real-time feedback loops, and agentic AI systems to improve proactive detection while preserving customer trust. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 [http://emerj.com/expert2] for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Justt. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1 [http://emerj.com/ad1].