DM Radio

Hosted by Eric Kavanagh

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Episodes

332

Latest episode

Aug 2026

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About the show

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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60 recent

August 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.

August 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.

August 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.

July 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.

July 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.

July 20, 202645 min

DM Radio Live from Accelerate: Why Context Is the Missing Link for Enterprise AI

Recorded live at the Accelerate conference, this episode of DM Radio explores why data - not applications - is becoming the foundation of enterprise AI. Join host Eric Kavanagh as he speaks with Chadd Kenney of Everpure about the shift toward data-centric architectures and the importance of shared context for powering intelligent AI agents and real-time decision-making. Next, Shawn Rosemarin of Everpure explains why context is to AI what memory is to humans, illustrating how connected, meaningful data enables more accurate, trustworthy outcomes. Together, these conversations reveal why contextual intelligence is emerging as the key ingredient for the next generation of enterprise systems.

July 13, 202652 min

Building an AI-Ready Knowledge Architecture

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 episode of DM Radio, we'll examine the nexus of semantic intelligence and metadata management as core components of an enterprise knowledge graph. Eric Kavanagh will host Sebastian Schmidt of Digital Science, who will demonstrate why a solid data foundation and intelligence layer - such as provenance tracking - are crucial for AI trust. They will show how AI Agents, RAG Architectures, and next-generation discovery platforms will only coalesce around trusted, contextualized data. Attendees will learn: Why semantic intelligence is becoming the control plane for enterprise AI How metadata, lineage, and provenance improve trust and reduce hallucinations Why knowledge graphs outperform siloed architectures for AI-driven discovery How AI-ready architectures support RAG, agentic AI, and contextual reasoning at scale

July 9, 202653 min

The Single MCP Approach to Compliant AI

AI agents are now standard in enterprise workflows but most organizations have no idea they've created a governance 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 data, under whose authorization, or how an answer was generated. Under GDPR, HIPAA, SOX, and the EU AI Act, that's big regulatory exposure. Join Shawhin Mosadeghzad and Terrence Sheflin as they examine why multi-MCP architectures create compliance gaps that traditional data governance tools weren't built to address, and why the fix has to happen at the access point. We'll discuss how a single governed semantic layer acts as the sole MCP for AI data access, enforcing row- and column-level security, logging every query with full user attribution and deterministic lineage, and satisfying the individual attribution requirements regulators are actively closing in on without sacrificing architectural control or LLM flexibility.

July 1, 202659 min

DMRadio Special: Conversations from We Make Future

Join DMRadio for a compilation of interviews recorded live at We Make Future in Bologna, where industry experts share perspectives on data management, AI, analytics, cloud technologies, and innovation across the enterprise.

June 11, 202652 min

The 'Death' of Analytics Vendors

A mass extinction event approaches, but not because of a meteor or global warming. The culprit this time is AI, and in particular, Large Language Models like ChatGPT and Claude. In their crosshairs are a slew of vendors selling analytical functionality: dashboards, visualizations, analyses, semantic layers, OLAP cubes and the like. For decades, these vendors have dominated enterprise decision-making, commanding 5, 6, even 7-figure pricetags to provide the scaffolding needed for insights. The LLMs now threaten that entire landscape, disrupting the foundation of data-driven workflows. True, the results of GenAI can be inaccurate, but their ease of use and relatively low cost will trump those concerns. Check out this hard-hitting session to hear DM Radio Host, Eric Kavanagh explain what's happening and why it matters to analysts everywhere. He'll examine the impact on the analytics industry, and explore ways that these vendors can stay relevant. He'll also offer advice for businesses looking to remain data-driven, and why data prep is where the action will be.