DM Radio Podcasts

Let's talk Data!

Through the Looking Glass: Metadata at the Space Force and Beyond

Broadcast Date: May 14th, 2026 Modern enterprises operate across increasingly complex environments with hundreds – sometimes thousands – of databases, applications, and processing nodes. Understanding how all those systems connect, interact, and evolve has become one of the biggest challenges in data management and AI readiness. This is where metadata becomes essential. Register for this…
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The Missing AI Layer: Relational Intelligence At Scale

Broadcast Date: May 21st, 2026 The AI arms race is over. Everyone wins, which means no one does. When every competitor has the same models, the same copilots, the same automation, the only thing left that actually wins the deal is the relationship. And relationships are about to matter more than they ever have. Not…
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Technical Debt: The Hand You Hold…

Broadcast Date: May 28th, 2026 In their song, Everything to Everyone, the band Everclear gave voice to every IT team on the planet who struggles to keep the lights on due to the ever-rising tide of technical debt and SaaS licensing. “The hand you hold is the hand that holds you down!” Of course, they…
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How Do Large Language Models Work?

Broadcast Date: May 11th, 2026 Large Language Models are rapidly reshaping the way people search for information, write software, analyze documents, and interact with machines. But beneath the polished interfaces and conversational fluency lies a complex architecture built on probabilities, patterns, transformers, and attention mechanisms. Understanding how these systems actually work is becoming increasingly important…
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How Do Agentic Data Pipelines Work?

Broadcast Date: April 30th, 2026 The first generation of data pipelines was built for humans. They moved data. They often broke. Engineers stepped in to fix them. While that world still exists, it now shares the stage with something far more demanding. Today, machines and AI systems are first-class consumers of data. The workload requirements…
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