Auto Industry Overview: Profits, EVs, and What’s Next
DMRadio Podcast
Join this episode of DM Radio as host Eric Kavanagh sits down with Kevin Tynan of The Presidio Group, known for his early and accurate predictions on major automotive shifts. Drawing from Presidio’s 2026 year-ahead outlook, Tynan will explain why EV subsidies, tariff fears, and long-standing growth drivers are fading - and what that means for automakers. Find out how the industry’s pivot toward trucks and SUVs reshaped profitability, why electrification hasn’t delivered the expected returns, and how rising prices collide with consumer expectations. Hear more about the U.S. and Chinese...
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Open for Business: Why Metadata Holds the Keys
DMRadio Podcast
Today's data landscape spans a vast range of information systems, from the warehouse to the edge, SaaS to on-prem. The average enterprise manages hundreds of applications and scores of databases. Making sense of all that data requires an understanding of what data exists, where it lives, who owns it, how it’s actually being used, and increasingly, what it means in different business and analytical contexts. The glue that keeps this all together? Metadata—and the semantics layered on top of it! Register for this episode of DM Radio to learn how the OpenMetadata project has become a trusted...
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CES Special: AI at a Turning Point
DMRadio Podcast
AI is at a turning point - and this CES special episode of DM Radio captures it from both sides of the spectrum. Hear Jason Hardy of Hitachi Vantara on how LLMs are transforming enterprise productivity, and Queena Qiu of Polyverse Studio on how GenAI is unlocking a new era of personal creativity, media creation, and storytelling. Whether you’re building with AI or simply experiencing it, this conversation offers a clear view into what’s coming next.
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CES Preview: Why AI Needs Data
DMRadio Podcast
Join this episode of DM Radio as host Eric Kavanaugh sits down with legendary keynote speaker and author Jim Harris to unpack why AI’s real power depends on data. Explore how generative AI is transforming workflows through massive time savings, real-world use cases, and practical productivity gains - from real-time translation to enterprise decision-making. Learn why bespoke models, enterprise data, and deterministic AI will matter most as organizations look to turn AI investment into real business value.
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2025 in Review: NLP, Upskilling & Intelligent Orchestration
DMRadio Podcast
Join this episode of DMRadio to look back at 2025, a year defined by natural language automation, rapid upskilling, and intelligent orchestration across the enterprise. Host Eric Kavanagh interviews Binny Gill of Kognitos, John Munsell of Ingrain AI, and Peter Sprygada of Itential about how NLP-driven interfaces and coordinated automation changed the way people work. Hear what shifted, what scaled, and how organizations prepared their teams for an AI-powered future.
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Breaking the IO Barrier: NVMe, Linux & the Future of Data
DMRadio Podcast
Join this DM Radio episode as Eric Kavanagh interviews David Flynn of Hammerspace and Mark Madsen of Third Nature. Together they dig into the latest breakthroughs in high-performance computing and data architecture, explore the rise of NVMe technology, Hammerspace’s impressive IO500 benchmark results, and why Linux continues to anchor modern data platforms. Learn about the evolution from 2D to 3D file-system architectures and how standards-based, turnkey data layers are powering the next generation of AI and enterprise workloads.
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Rebuilding Security for the Data-Driven Future
DMRadio Podcast
Join this DM Radio episode with Sean Knapp of Ascend and Jack Smith of Syncari, as we explore how security must evolve in an AI-driven, real-time world. Discover why legacy TCP/IP approaches fall short as organizations push intelligence to the edge and leverage billions of sensors. Learn about the growing global maturity of cybersecurity and how industries are implementing shared standards and security-by-design architectures. Tune in to hear what modern network defense truly requires.
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Move From AI Hallucinations to Production-Ready Intelligence
DMRadio Podcast
The hard truth about enterprise AI? According to industry research, some 88% of AI pilots never reach production. And by 2027, roughly 40% of AI projects may be canceled entirely. The problem isn't the AI models; it's the data. While organizations rush to implement generative AI, they're hitting a fundamental wall: AI agents can't deliver reliable business value without clean, governed, and context-rich enterprise data. The result? Non-deterministic outputs that change from run to run, black box decisions that leaders can't defend, and brittle integrations that break at enterprise scale....
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Meeting of the Minds: Getting AI-Ready
DMRadio Podcast
How Do You Know If Your Enterprise Is AI-Ready? It starts with data. Can your enterprise architecture support AI workloads, RAG, or Agentic AI? For most, the answer is not yet. But with the right strategy, any data environment can get there. Then comes Governance. Do you have the right policies in place, the right people involved? Do you understand your use case well enough to know what success looks like? What You’ll Learn: * How to assess whether your data architecture is AI-ready * Practical ways to modernize your systems for AI workloads * Real-world lessons from successful enterprise AI...
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Real-Time Intelligence with Confluent
DMRadio Podcast
Live from Current in New Orleans, join this special episode of DM Radio exploring how Confluent is redefining the data foundation for the age of Agentic AI. Host Eric Kavanagh will interview Andrew Sellers, who will unveil Confluent Intelligence - a new way to deliver trusted, contextual data to AI systems in real time. Then, Kamal Brar will join to discuss how streaming architectures built on Kafka are enabling dynamic, multi-agent frameworks that respond and learn continuously. Learn how real-time context, speed, and data integrity are fueling the next wave of enterprise AI...
info_outlineToday's data landscape spans a vast range of information systems, from the warehouse to the edge, SaaS to on-prem. The average enterprise manages hundreds of applications and scores of databases. Making sense of all that data requires an understanding of what data exists, where it lives, who owns it, how it’s actually being used, and increasingly, what it means in different business and analytical contexts.
The glue that keeps this all together? Metadata—and the semantics layered on top of it! Register for this episode of DM Radio to learn how the OpenMetadata project has become a trusted foundation for organizations looking to make sense of their data estates, and how it is evolving beyond passive documentation into a living system of meaning and intelligence.
Host Eric Kavanagh will interview Suresh Srinivas, CEO and Co-Founder of Collate, and Sriharsha Chintalapani, CTO and Co-Founder of Collate, who will explain how OpenMetadata facilitates the synthesis of a wide range of information systems, and how Collate is helping organizations operationalize that foundation into governed, AI-ready data and semantic intelligence. Also joining the call will be AI Industry Analyst Mark Madsen of Third Nature, who will explain the wide-ranging value offered by the OpenMetadata platform for data and AI initiatives.
Attendees will learn:
* Why metadata provides the semantic control plane for modern, highly distributed data estates; and how it enables shared meaning across hundreds of applications, databases, and pipelines;
* How OpenMetadata creates a unified system of record for data assets, ownership, lineage, quality, and usage across cloud, on-prem, SaaS, and edge environments;
* What “active metadata” really means in practice, and how it becomes more powerful when enriched with business semantics and intent to support faster analytics, AI readiness, governance, and operational decision-making;
* How organizations are using OpenMetadata to break down silos, improve trust in data, and reduce friction between data engineering, analytics, and business teams;
* Why metadata has become foundational for AI, automation, and agentic systems, serving as the context-and-meaning layer that turns raw data into actionable intelligence for both people and AI systems.