Category: Podcast Archives

Let's talk Data!

Network Intelligence & AI-Ready Data

Broadcast Date: July 23rd, 2026 Join this episode of DM Radio as host Eric Kavanagh explores how organizations are turning complex enterprise data into actionable intelligence. First, he interviews Darren Fullwell of IP Fabric, who explains how network digital twins give IT teams complete visibility into their environments. Next, Rivers Morrell and Dr. Reza Nehzati of HeyDonto,…
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Mainframes, AI Agents & Modern Infrastructure

Broadcast Date: July 20th, 2026 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,…
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Building an AI-Ready Knowledge Architecture

Broadcast Date: July 13th, 2026 The forcing function of AI continues to reshape how organizations think about data architecture. It’s no longer enough to simply centralize information in warehouses and lakes. AI systems require context, lineage, relationships, governance, and semantic understanding to deliver trustworthy outcomes at scale. The solution? An AI-ready knowledge architecture. On this…
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AI’s Next Business Frontier

Broadcast Date: July 13th, 2026 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…
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The Single MCP Approach to Compliant AI

Broadcast Date: July 9th, 2026 AI agents are now standard in enterprise workflows and most organizations have no idea they’ve created a compliance time bomb. When agents connect to Salesforce, Snowflake, Tableau, and a dozen other systems through separate MCPs, the result is a fragmented audit trail with no single record of who accessed what…
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