Slowdown Showdown
InsideAnalysis
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.
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Building Infrastructure for the Agentic Era
InsideAnalysis
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.
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Building Smarter Businesses with AI
InsideAnalysis
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...
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Safety First? Stats Over Stories, Please
InsideAnalysis
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...
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AI Agents Are Changing the Internet
InsideAnalysis
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.
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Context Is Everything: AI & Asset Intelligence
InsideAnalysis
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.
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Enterprise AI: Data, Reasoning & People
InsideAnalysis
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...
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Mainframes, AI Agents & Modern Infrastructure
InsideAnalysis
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...
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Live from Accelerate: The Future of Data-Centric Infrastructure
InsideAnalysis
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.
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AI's Next Business Frontier
InsideAnalysis
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...
info_outlineThe forcing function of AI and agents puts tremendous pressure on data teams to get their house in order. The demands for getting "AI-Ready" are coming from all sides, and there are countless methods being touted. The most promising approach? A graph for all your data!
Internet powerhouses like Meta, LinkedIn and others have demonstrated the remarkable power of graph technology. Join this episode of InsideAnalysis to learn how your organization can connect all the dots, and enter the AI era with confidence. Harsha Chintatalapani of the OpenMetadata Project, and Co-Founder of Collate, will demonstrate how semantics can be baked into every data structure via automation and curation using open standards.
Also joining the show will be world-renowned Data Maven, Jessica Talisman, who will explain how a data graph can solve for the many challenges that Master Data Management and Data Virtualization were supposed to fix. She'll also share how Web Ontologies (OWL) and Reference Description Frameworks (RDF) are finally coming into their own, offering tremendous promise for enabling the semantics that can pave a smooth transition into Enterprise AI.
What you'll learn:
• The difference between a data graph and a domain ontology, and why it matters for AI
• How semantic metadata graphs connect your domain logic to enterprise data assets
• What OWL and RDF enable that data catalogs and MDM tools cannot
• How to get started quickly using RDF/DCAT standards, automated semantics, and glossary-to-source linking