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How is AI transforming the way organizations work, build, and innovate? Join this episode of InsideAnalysis as host Eric Kavanagh interviews Les Ottolenghi of FuzeBox AI and Poonacha Kongetira of Classie AI. Hear more about the evolving AI landscape, emerging opportunities, and the technologies shaping the future of business.

LLMs are remarkably powerful at language and open-world knowledge, but that doesn't necessarily make them reliable for quantitative reasoning or analysis of enterprise data. Join this episode of InsideAnalysis as Eric Kavanagh speaks with Pradeep Ravikumar of WoodWide.ai about bridging that gap. Learn more about how WoodWide.ai is working to automate the journey from data to intelligence while keeping data teams in the loop. Hear more about the fundamental differences between language models and structured enterprise data, the importance of quantitative and causal reasoning for use cases such as customer churn and fraud detection, and how organizations can leverage the strengths of LLMs without sacrificing the rigor of their existing data models.

So, they want to slow down? Don't believe your lying sighs! The AI race just caught the yellow flag, or was it black? The LLM CEOs cried for a slowdown. AI "will kill us all," they said. But, how? And are they serious? Check out this episode of InsideAnalysis to hear a candid take on what's really happening. As David Linthicum asked, "Are we being played?" Also joining the fray: the legendary Stephen Klein of Curiouser.ai, and David Sweenor, purveyor of the concisely insightful TinyTechGuides.

AI agents are transforming enterprise technology, creating new challenges around governance, security, observability, and infrastructure. Join this episode of InsideAnalysis as host Eric Kavanagh speaks with Jeremy Snyder, Founder and CEO of FireTail.ai, about governing AI usage and protecting enterprise data, and Debosmit Ray, CEO of DevZero, about optimizing Kubernetes infrastructure for the unique demands of AI agentic workloads. Explore how organizations can build the visibility, control, and infrastructure needed to scale AI safely and efficiently.

How do organizations harness AI without losing human control - and how do they build the data infrastructure needed to make AI truly reliable? Join this episode of InsideAnalysis as Eric Kavanagh speaks with Jon Cheney of GenAIPI about AI-powered entrepreneurship, human agency, AI implementation, and using generative AI to amplify human capabilities. Then, Anshul Verma of Zeta Global discusses data observability, automated pipelines, and self-healing mechanisms designed to improve data reliability at scale. Explore the human and technical foundations of implementing AI - from maintaining human oversight to building reliable data infrastructure for AI-driven workloads.

Promises, promises! We've been told time and again that self-driving cars will save lives. But there's more to safety than crash data. If an autonomous vehicle blocks a fire truck, for example, that's a severe edge case. And there are many others like it. Most people tend to focus more on stories than stats, which causes friction when the self-driving auto industry tries to make its pitch. Join this episode of InsideAnalysis to hear from the legendary Carnegie Melon visionary, Philip Koopman, the man who helped write the safety standards for self-driving cars. He'll be joined by AI architectural guru Mark Madsen of Third Nature, who's worked with numerous car companies over the years to create their data and analytics products. Attendees will learn: * Why perceptions of safe behavior often belie statistics * How edge cases can undermine traditional testing and engineering * Why crash rates provide an incomplete picture of autonomous safety * How this next generation of vehicles creates an accountability conundrum

The rise of agentic AI is reshaping how we interact with the internet, from shopping and information gathering to hiring and marketing. Join this episode of InsideAalysis as host Eric Kavanagh and Dr. CJ Meadows explore the shift from marketing to humans toward marketing to AI agents, as agents increasingly make decisions on our behalf. Learn the importance of responsible AI and governance as these systems become more autonomous. With AI increasingly mediating everything from job applications to online traffic, the relationship between humans, data, and technology is entering a new era.

How do you turn disconnected data into meaningful decisions? Join this episode of Inside Analysis as Eric Kavanagh sits down with Peter Wang, Co-founder & CEO of Hypha, to discuss why context is the missing ingredient in enterprise AI. Explore knowledge graphs, human-AI collaboration, and the challenges of connecting structured and unstructured data - particularly in commercial real estate. Learn how Hypha is helping organizations transform fragmented information into actionable intelligence.

Enterprise AI is about more than deploying large language models. Building systems that deliver real business value requires trusted data, transparent reasoning, and people who know how to use AI responsibly. In this episode of Inside Analysis, Eric Kavanagh speaks with Chadd Kenney of EverPure, about the shift toward universal data intelligence and how intelligent agents can operate on trusted, real-time enterprise data. Next, Ramesh Parameswaran of LangGrant explains how structured "data plans" capture and preserve the reasoning behind AI-driven analytics, creating reusable organizational knowledge while improving transparency and collaboration. Lastly, Sara Skowronski, AI Consultant & HR Strategist at Eos HR Consulting, shares practical guidance on AI adoption, governance, workflow optimization, and the policies organizations need to help employees use AI effectively and responsibly. Together, these conversations explore the three essential pillars of modern enterprise AI: data, reasoning, and people.

Join this episode of InsideAnalysis as Eric Kavanaugh explores how enterprise infrastructure is evolving - from the mainframe to the age of AI agents. He interviews David Eddy of Legacy Software LTD, who explains how organizations can unlock valuable metadata from legacy mainframes using automated data dictionaries and business glossaries, joined by Patrick Quirk of Opengear, who discusses how AI-driven traffic is reshaping network infrastructure, resiliency, and failover strategies. Whether you're managing legacy systems or preparing for an AI-powered future, this conversation offers valuable insights into the technologies driving modern enterprise infrastructure.

Recorded live at Accelerate in Las Vegas, this episode of Inside Analysis explores how enterprise infrastructure is evolving for the AI era. Host Eric Kavanagh sits down with Everpure's Angad Narang to discuss Everpure as a service, and guaranteed performance, then speaks with Ashish Gupta about the growing importance of data intelligence and making enterprise data AI-ready. Together, they examine why data-centric infrastructure is becoming the foundation for modern, intelligent enterprises.

Join this episode of InsideAnalysis as Eric Kavanagh explores how AI is reshaping both digital analytics and business operations. First, Matteo Zambon, Co-Founder of Tag Manager Italia, explains why traditional web analytics are losing visibility as AI agents bypass JavaScript, and how organizations can leverage CDN logs, server-side tracking, behavioral analysis, and machine learning to distinguish humans from bots in an AI-first internet. Next, Todd A. Krause, Founder of Silversun Consulting, discusses how affordable AI-powered CRM, communication, and automation tools are giving small and midsize businesses enterprise-grade capabilities. Together, the conversations highlight a common message: success in the AI era requires combining intelligent technology with human judgment, curiosity, and strong customer relationships.

Recorded live at We Make Future in Bologna, this special episode brings together conversations with industry leaders, innovators, and technology experts on the latest developments in AI, data, digital transformation, and the future of enterprise technology.

Join this episode of Inside Analysis live at We Make Future with Paolo Dello Vicario, CEO and Co-Founder of ByTek, and Iulia Feroli, Founder of Back to Engineering. Learn how AI is helping organizations derive greater value from customer data while maintaining privacy and trust. Take a look at the growing Physical AI movement and explore how robotics and autonomous systems are becoming increasingly practical, accessible, and impactful across industries.

Join this episode of Inside Analysis as Eric Kavanagh speaks with Thiru M. Arunachalam of Walt, Jason Wells of AI Dev Lab, and Rohit Choudhary of Acceldata about the data foundations required to power the next generation of enterprise AI. Across three conversations, the guests explore how organizations are modernizing data architectures, leveraging knowledge-driven approaches, and improving data observability to support AI agents and intelligent automation. Learn about the critical role of data quality, context, governance, and operational reliability in delivering trustworthy AI outcomes at scale. Get a roadmap for organizations looking to transform raw data into actionable intelligence and sustainable business value.