Join this episode of DM Radio as Eric Kavanagh interviews Eric Herzog of Infinidat as he explains why cyber storage resilience is critical as ransomware attacks surge. Learn more how real-time data cleansing protects sales performance and email deliverability with Jason Gladu of Convertr. They are joined by Matt DeLauro from SEON, who explores AI-driven fraud detection and AML in a world of increasingly sophisticated financial crime.

Enterprise AI is now a boardroom mandate, but moving from pilots to production remains a major challenge. Many organizations are trying to determine whether their infrastructure can support AI at scale without driving up costs, hitting power constraints, or locking into the wrong architecture. Training isn't inference. Fine-tuning isn't RAG. Getting these distinctions wrong can cost millions.

Join Eric Kavanagh (DM Radio) for an interactive live webcast with Mark Madsen (Third Nature), Denise Muyco (RAVEL), and industry leaders as they break down how different AI workloads place very different demands on compute, power, and orchestration — and what actually changes when moving from testing to enterprise production.

This session will equip AI and infrastructure leaders with practical guidance to make confident, future-ready infrastructure decisions.

Attendees will learn: * The key questions to ask when planning AI for production * How infrastructure needs differ across training, inference, and experimentation * How to test, validate, and scale AI workloads * How to identify bottlenecks that hurt performance and ROI * Why smart infrastructure strategy is critical to scaling AI successfully

If you're responsible for AI or infrastructure strategy, this is the conversation that could save — or justify — your next $10 million decision.

Join this episode of DM Radio as host Eric Kavanagh speaks with Jason Ambrose, CEO of people.ai, and AI keynote speaker Sharon Gai about how AI is reshaping organizations.

Learn how AI can capture unstructured data - from calls, emails, and CRM systems - and turn it into real-time business intelligence and sales opportunities.

Explore next-generation search, AI agents, and how direct access to information changes management and decision-making.

Find out about interactive learning and why education and work must evolve as AI takes over routine tasks and humans focus on judgment and creativity.

Join this episode of DM Radio as host Eric Kavanagh welcomes Sarah Hoffman, Director of AI Thought Leadership at AlphaSense, for a practical conversation about what AI actually does in the enterprise - beyond the hype.

Discover why trusted data determines whether AI creates value, how retrieval-augmented generation and human-in-the-loop workflows improve reliability, and why the real breakthrough is AI embedded directly into everyday work.

Hear what's next: proactive, personalized AI and what it could mean for decision-making and productivity across the business.

The promise of AI agents is quickly turning into a reality check for many organizations, with almost 90% of AI pilots failing to reach production. Many AI projects are faltering due to escalating costs and unclear business value. The root cause is often not the AI models; it's the architecture underneath.

Join us for this episode of DM Radio to learn what it takes to build agent-ready systems. Shawhin Mosadeghzad and Jeff Hainsworth of insightsoftware will explain the three pillars of agent-ready architecture: context, governance and reliability. They'll further demonstrate how semantic intelligence transforms raw data into actionable context.

Attendees will learn: • Why traditional data architectures fail AI agents in production • How a zero-movement architecture keeps data secure and agents performant; • Real-world patterns for deploying production-ready AI systems; • How to architect systems that give AI the governed, context-rich data they need.

Dive into the evolving modern data stack through the lens of observability, security, and log analytics as host Eric Kavanagh interviews Eric Tschetter of Imply and Mark Madsen of Third Nature about why vertically integrated observability platforms are giving way to more decoupled, composable architectures.

Unpack how logs differ from traditional BI data, why schema-on-read changed the game, and how multiple query languages (SPL, KQL, SQL, and more) shape real-world workflows. Learn more about the cost and complexity trade-offs of data lakes, cloud storage, and retrieval at scale in this episode of DM Radio.

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 auto economies, their subsidies, supply chains, and the strategic challenges now facing the global market.

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 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.

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.

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.