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DM Radio: Daily Summaries Delivered
by Eric Kavanagh
DM Radio is the world's longest-running show about data! Since 2008, we've interviewed the industry's brightest minds about AI, analytics, big data, cloud, data warehousing, digital transformation, Internet of Things (IoT), streaming and many other topics. Now broadcasting coast-to-coast, we're always looking for new voices. Send an email to info@dmradio.biz!
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- 2 days ago53 min
Grounding Agentic AI: Data, Context & Control
As AI moves into an increasingly agentic era, enterprises need more than powerful models - they need trusted data, meaningful context, and control over how AI systems access and use information. Join this episode of DMRadio as Adam Gunther of Vertica at Rocket Software discusses how the company's MCP server connects LLMs directly to enterprise data, while Vertica's analytics and in-database machine learning capabilities help ground probabilistic AI with deterministic insights. He will be joined by Meeta Vouk, who explores the growing role of unstructured data and the need for "provable governance" as AI agents become more autonomous. The conversation covers blending structured and unstructured data, monitoring model drift, controlling agent access, and supporting secure AI deployments across cloud, on-premises, and sovereign environments.
- 3 weeks ago45 min
Beyond the GPU: AI's Data Challenge
As AI moves from experimentation to enterprise deployment, the bottleneck is shifting from compute to the data infrastructure that powers it. Join this episode of DMRadio as host Eric Kavanagh speaks with Adrian Johnson of Hitachi Vantara about high-performance data access, on-premises infrastructure, and the growing demands of agentic AI. Explore AI guardrails, data silos, knowledge graphs, Apache Iceberg, and how organizations can modernize legacy environments while keeping sensitive data secure and under control.
- 4 weeks ago54 min
An Agent-Ready Data Architecture
AI agents may be new, but the data problems they encounter are not. Before an agent can answer a question or take action, it needs to know what data exists, what it means, and how trustworthy it is. A single errant join, stale table, ambiguous definition, or missing access rule can quietly turn an otherwise capable agent into a confident source of bad decisions. And when agents string multiple steps together, even strong accuracy rates can deteriorate quickly. The good news? Much of the infrastructure needed to solve this problem already exists, if organizations rethink how data is collected, understood, and governed. Instead of repeatedly moving data through pipelines and warehouses, one creative solution uses an immutable, replayable fact log, continuously profiling data as it arrives and capturing schema changes, lineage, transformations, distributions, and other signals along the way. Tune into this DM Radio episode as host Eric Kavanagh talks with Mike Kowalchik of Matterbeam about why infrastructure originally designed to make data easier for humans may prove even more valuable for AI agents, and how evidence-backed inference, agent-specific governance, and reusable data context can help turn promising prototypes into trustworthy production systems.
- Aug 17, 202644 min
AI, Work & the Return of the Generalist
AI is transforming the workplace - not necessarily by eliminating jobs, but by fundamentally changing how people work and the skills they need. Join this episode of DM Radio as Eric Kavanagh speaks with Roberta Gamble, Chief Research Analyst at FOURCASTERS, about the real impact of AI on jobs, marketing, communications, and the evolving role of the knowledge worker. Learn why AI is making basic tasks easier while pushing professionals toward broader, more versatile skill sets and how it's being applied to corporate communications and the public sector, where better technology could dramatically improve everyday interactions with government services.
- Aug 17, 202652 min
The Titanic Moment for Traditional Data Architecture
Apache Iceberg is rapidly becoming the architectural foundation for the modern enterprise data estate, enabling organizations to decouple storage from compute while preserving openness and governance at scale. By bringing database-grade capabilities like ACID transactions, schema evolution, time travel, and intelligent metadata management to low-cost object storage, Iceberg transforms the traditional data lake into a shared, high-performance platform that can power analytics, AI, machine learning, and real-time applications alike. The result is a more flexible data architecture that ideally eliminates redundant data copies, simplifies operations, and dramatically reduces vendor lock-in. On this episode of DM Radio, we'll explore why so many organizations are embracing what some call the "Iceberg Revolution," and what it means for the future of enterprise data architecture. We'll examine how Iceberg enables a composable data stack, supports multiple compute engines against a single source of truth, and lays the groundwork for semantic layers, knowledge graphs, and agentic AI.
- Aug 6, 202644 min
Quantum Computing Beyond the Hype
What does it take to move quantum computing from the lab to the enterprise? Join this episode of DMRadio to hear host Eric Kavanagh interview Yuval Boger, Chief Commercial Officer at QuEra Computing. Learn how the industry is shifting its focus from scientific milestones to solving real business challenges - from discovering new materials to optimizing supply chains - and what that means for the future of quantum.
- Jul 27, 202652 min
Securing Salesforce Data in the AI Era
Join this episode of DM Radio as host Eric Kavanagh sits down with Sovan Bin, CEO and Founder of Odaseva, to explore the growing challenges of managing and securing Salesforce data in today's AI-driven world. Drawing on his experience as a Salesforce architect, Sovan shares how conversations with enterprise customers revealed critical gaps in data governance, security, and control as organizations moved from on-premises systems to the cloud. Find out how those challenges inspired the creation of Odaseva and why protecting mission-critical CRM data has become more important than ever in an era of increasingly sophisticated cyber threats. Tune in to learn how organizations can strengthen Salesforce data management, improve governance, and build a more resilient security strategy while continuing to innovate in the cloud.
- Jul 20, 202651 min
Network Intelligence & AI-Ready Data
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, joined by Mark Madsen of Third Nature, discuss Data Field Theory and a new approach to preparing structured and unstructured data for trustworthy AI. Hear practical insights into enterprise networking, AI, data architecture, and the future of intelligent systems in this episode of DM Radio.
About DM Radio
DM Radio is the world's longest-running show about data! Since 2008, we've interviewed the industry's brightest minds about AI, analytics, big data, cloud, data warehousing, digital transformation, Internet of Things (IoT), streaming and many other topics. Now broadcasting coast-to-coast, we're always looking for new voices. Send an email to info@dmradio.biz!
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Frequently Asked Questions
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It's a free AI-powered email that summarizes new episodes of DM Radio as soon as they're published. You get the key takeaways, notable quotes, and links & mentions — all in a quick read.
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DM Radio covers topics including Education, Business, Careers. Our AI identifies the specific themes in each episode and highlights what matters most to you.
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