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Published 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!
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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. Visit https://matterbeam.com/ for details!
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
Join this episode of DM Radio as host Eric Kavanagh speaks with Kamila Zahradnickova of Lakmoos and Tim Lidman of Clyde about two distinct but transformative applications of AI. Learn how Lakmoos uses mathematical simulation models and AI-powered digital twins to help organizations test products, campaigns, and business decisions before launching them in the real world. Next, learn lessons from building and selling ThinkTank to Accenture and why SaaS is evolving - not disappearing - as AI-native applications reshape software design and user experiences. Explore how AI is changing everything from market research and customer insights to enterprise workflows and software development.
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 were likely not explicitly referencing the IT landscape, but the mantra surely sticks. Today, at long last, there is a ray of hope for these battle-tested administrators, in the form of Deterministic Enterprise-native AI that promises more deterministic results. While GenAI grabs all the headlines for writing everything from press releases to poetry, a handful of enterprise engineers have been busy crafting a hybrid solution that fuses the generative power of LLMs, with the determinism of enterprise systems of record. Register for this DM Radio to learn how today's innovators are building solutions that are agile and bulletproof. Host Eric Kavanagh will be joined by industry legend Sam Yen, former Chief Innovation Officer for JPMorganChance, now the GM for Everest Systems. He'll show how hybrid AI systems are eclipsing legacy architectures, and solving technical debt once and for all.
Join this episode of DM Radio, as host Eric Kavanagh sits down with Marty Pesis of Troveo AI to explore one of the most critical - and least understood - layers of the AI economy: training data. From licensing massive video and audio libraries to structuring petabytes of content for frontier AI labs, you'll learn how data quality, uniqueness, and scale are shaping the next generation of AI models. Dive into the operational realities of managing enormous datasets, the growing value of proprietary content, and why differentiated training data may become the true competitive advantage in AI. Take an inside look at the infrastructure powering today's AI boom - and the business models emerging around it.
Space, the final frontier... for metadata! Space is no longer just a theater of rockets, launches, and satellites. It's a data domain, where mission success depends on the ability to collect, govern, correlate, protect, and move information faster than adversaries can react. Join this episode of DM Radio to learn from former Space Force CDO Mark Brady, along with Hammerspace CEO David Flynn, and Director Robert Renzoni. They'll explore the criticality of metadata management at scale, from outer space, down to the largest, most complex organizations in the world.
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 are exploding, rendering the manually tuned, hand-patched pipelines woefully insufficient. Data-driven organizations require a new paradigm, one in which an army of specialized agents are at-the-ready to scale and adapt. Register for this episode of DM Radio to learn about the dawn of Agentic Data Pipelines. Host Eric Kavanagh will be joined by Sami Akbay, founder of Dagen.ai, who will explain why traditional pipelines are failing in the AI era. He'll give a presentation on the architecture of these dynamic pipelines, which employ Super-Agents that orchestrate an array of specialists. Attendees will learn: * Where LLMs fit into production data systems, and where they don't * Why memory + guardrails mark the difference between demos and production * How teams are going from prompt to production in hours, not weeks
Join this episode of DM Radio, as host Eric Kavanagh speaks with Mark Brady, Chief Data Officer of TRMC/KBR, ex CDO for US Space Force, about the rapidly evolving landscape of artificial intelligence and the urgent need for clearer safety principles. Hi will share his perspective on how intelligence works across humans and machines, from perception and memory to language and reasoning, and why today's AI systems challenge traditional definitions. Learn more about the risks of opaque "black box" models and why understanding their behavior is critical as they become more powerful and widely deployed.
Since time immemorial, the concept of sovereignty has defined control, whether for nations or legal authorities. Today, the rise of AI is forcing a global reckoning around one of the most important and misunderstood aspects of modern computing: data sovereignty. First there was GDPR, the Global Data Protection Regulation out of the European Union; then the CCPA, the California Consumer Privacy Act (CCPA); and now, there are nearly 150 countries around the world with related laws and regulations on the books. What's a data team to do? Register for this very special DM Radio to learn from several experts, including James Robson, former Chief Data Protection Officer for the United Kingdom's Labour Party; along with Floyd Christofferson and Seamus Matthews of Hammerspace, as they dive into the gritty details of what data sovereignty means, and how companies can achieve it. Attendees will learn: * Why data sovereignty is becoming a defining constraint, and opportunity, for enterprise AI * The infrastructure realities of managing data across borders, clouds, and jurisdictions * How global enterprises can balance compliance with performance and innovation * What emerging geopolitical dynamics mean for data strategy and governance moving forward
Join this episode of DMRadio as host Eric Kavanagh speaks with Xin Yan, CEO of Sign, about how blockchain is reshaping the way organizations establish trust in data. Learn how decentralized technologies and identity frameworks can help verify information, reduce reliance on intermediaries, and improve transparency. Hear more about misconceptions about blockchain and where it delivers real value beyond cryptocurrency.
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Apple Podcasts rankings via the Mato Topic Intelligence Platform.
Observed September 18, 2026. Cached outside the daily freshness window; the positions keep the date they were taken on.
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