How AI is Reshaping Commercial Insurance and Risk Assessment - with Sidharth Ojha of AXA XL
Release Date: 05/27/2025
Data Pipelines that Support Globalized Education and Training Programs - with Norma Scagnoli of the Illinois Institute of Technology
The AI in Business Podcast
As universities and enterprises both turn to large-scale digital learning, the challenges of scaling education look remarkably similar across sectors. From managing data pipelines to ensuring learners feel a sense of connection, success depends on more than just technology. In this Pure Storage-sponsored episode of the ‘AI in Business’ podcast from Emerj, Norma Scagnoli, Chief Learning and Innovation Officer at the Illinois Institute of Technology, discusses how higher education institutions are navigating cultural resistance, accreditation hurdles, and governance demands while scaling...
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Turning CPG Complexity into Real-Time Decisions with AI - with Henrique Wakil Moyses of Crisp
The AI in Business Podcast
The consumer goods and retail industries face an overwhelming challenge: too much fragmented data and too little clarity. From mismatched retailer reports to legacy systems that can’t keep up with today’s SKU volumes, many organizations find themselves bogged down in “data indigestion” instead of actionable insights. Today’s guest is Henrique Wakil Moyses, Vice President of Data Science at Crisp. Crisp is a data platform designed for the consumer goods ecosystem, helping brands, retailers, and distributors harmonize fragmented data from multiple sources. By providing real-time...
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Rethinking Infrastructure As the New Competitive Edge in AI - with Deborah Golden from Deloitte
The AI in Business Podcast
What if the real AI revolution isn’t in the models — but in the reimagined systems beneath them? In this episode, Deborah Golden, U.S. Chief Innovation Officer at Deloitte, joins Emerj CEO and Head of Research Daniel Faggella to rethink what powers (or derails) AI at scale. The conversation challenges conventional wisdom – proposing that the future of AI may hinge less on algorithms and more on the invisible infrastructure that surrounds them. Golden surfaces the hidden risks of silo systems, unchecked shadow AI, and the all-too-common “speed trap” mindset – making a bold case that...
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How Financial Institutions Can Prepare for the Future of Fraud with Responsible AI Deployments - with JoAnn Stonier of Mastercard
The AI in Business Podcast
As AI capabilities evolve, financial institutions face pressure to balance innovation with security, trust, and regulatory compliance. From fraud prevention to customer experience, deterministic AI applications continue to form the backbone of financial services—even as new technologies like generative and agentic AI emerge. In this episode, JoAnn Stonier, Data and AI Fellow at Mastercard, joins us to share how Mastercard is navigating these dynamics. She explains how AI-driven analytics reduce false positives in fraud detection, why “agent-ish” AI marks an important transition toward...
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Balancing Efficiency and Trust in Field Service Operations - with Eric Rivas of Electrolux
The AI in Business Podcast
In today’s high-volume service environments, the smallest misstep can erode both efficiency and customer trust. In this episode, Eric Rivas, Director for Service Repair at Electrolux, joins Emerj Editorial Director Matthew DeMello to share how frontline data and technician expertise can be better captured, organized, and applied to deliver consistent, first-visit success. Rivas advises service leaders on best practices for approaching the challenges of tribal knowledge transfer, skill development, and diagnostic accuracy in large service organizations. He also breaks down the...
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Why System Integrators Are Key to AI Success - with Pallab Deb of Google
The AI in Business Podcast
In this episode of the AI in Business podcast, Pallab Deb, Managing Director in SI & Industry GTM Partnerships at Google, joins Emerj CEO Daniel Faggella to discuss how AI infrastructure has evolved into a platform-centric foundation for enterprise transformation. Pallab explains why the modern AI stack extends beyond compute and storage to include network performance, data governance, multi-model integration, and agentic interfaces that enable real-time, multilingual, and multimodal engagement. He outlines the shift from proof-of-concept pilots to proof-of-value initiatives, where...
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How Data Ownership Drives Trustworthy AI Models - with Joe Lang of Comfort Systems
The AI in Business Podcast
Joe Lang, Vice President of Service Technology and Innovation at Comfort Systems USA, joins the AI in Business podcast to discuss why a clear data strategy must come before investing in storage infrastructure for AI adoption. Joe outlines the risks of assuming that cloud providers or storage solutions alone will produce reliable intelligence, and why organizations should approach AI initiatives as iterative R&D projects rather than instant ROI efforts. He shares practical guidance on right-sizing storage to business goals, addressing the skilled trade gap through scalable systems, and the...
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GenAI, Trust and Talent in Modern Loss-Prevention - with Joe Troy of Amazon
The AI in Business Podcast
AI-powered video intelligence is transforming the retail environment from one of surveillance to one of support. In this episode, Joe Troy, Senior Manager of Site Risk at Amazon, shares how generative AI is helping organizations not only reduce shrink and detect fraud, but also foster transparency, trust, and operational efficiency across frontline teams. Joe explains how AI can detect patterns that traditional systems miss—like organized fraud rings and duplicate refund behaviors—while still relying on human judgment to determine context and action. He highlights the importance of...
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Operationalizing Portfolio Decisions at Speed and Scale - with Madhav Madaboosi of bp
The AI in Business Podcast
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...
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Turning Legacy Service Contracts into First Time Fix Wins - with Joe Lang of Comfort Systems
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...
info_outlineToday’s guest is Sidharth Ojha, Head of Process Optimization in Data and AI at AXA XL, a global commercial insurance and reinsurance company and subsidiary of AXA. Sidharth joins Emerj Managing Editor Matthew DeMello to discuss how AI is being applied across commercial insurance workflows with real, measurable impact. He explains how machine learning is enhancing underwriting efficiency, portfolio decision-making, and risk assessment. The conversation also covers key enablers for scaling AI, including data quality, governance, and change management. For insurance professionals and data leaders, Sidharth offers practical insights on where AI is driving results today and what it takes to implement it responsibly. 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!