DM Radio

Join this episode of DM Radio as host Eric Kavanagh speaks with Pinecone CEO Ash Ashutosh about the technical foundation behind modern AI systems. Explore how large language models convert text, images, and other data into vectors - mathematical representations that enable machines to understand meaning and relationships. Find out more about the role of vector databases and Retrieval-Augmented Generation (RAG) in grounding AI with enterprise data to produce more accurate, trustworthy results.  Tune in to learn how tokens, vectors, and semantic data structures are shaping the next generation of AI applications.

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.

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.

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.

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.

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. Register for this episode of DM Radio to learn about the next stage of AI adoption: bridging enterprise data to AI with trust and governance built from the ground up. Sami Akbay and Terrence Sheflin of insightsoftware will discuss: - Why AI projects fail in production - The path to production-ready AI - How to eliminate hallucinations at the source Stop treating AI hallucinations as an acceptable trade-off. Learn how to deliver consistent, verifiable, and auditable AI outcomes that move your organization from experimental pilots to production-ready intelligence that drives real business value.

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 projects * Pitfalls to avoid when implementing GenAI and RAG systems * Strategies to align your data, tools, and teams for scalable AI * Discover how to align your data and strategy to make your enterprise truly AI-ready.

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 innovation by checking out this episode of DMRadio.

Dive into this episode of DM Radio, as host Eric Kavanagh joins experts from Cloudera and Hitachi to explore how enterprises are rethinking AI and data infrastructure amid rapid innovation. Manasi Vartak, Chief AI Architect at Cloudera, unpacks the concept of "Private AI" - enabling organizations to maintain full control over their data, models, and hardware while ensuring trust and governance. Next, Dan McConnell of Hitachi Vantara delves into the data arms race driving AI advancement, highlighting the role of modern data fabrics, hybrid cloud strategies, and intelligent control planes like VSP360. Discover how organizations can confidently embrace AI without losing control of their data foundation - tune in to this episode of DM Radio.

Know your customer? Know your bad guy! The power of AI extends to both black hats and white, and with Generative AI now in the toolset, all bets are off. Bad actors can whip up pixel-perfect, fraudulent web sites in seconds to pilfer your username and password. They can mimic your spouse's voice to put you in a panic. And they can use Agentic AI to hide even the most brazen cases of money laundering.   What's the cure? Check out this episode of DM Radio to hear fraud-fighting veteran Matt Vega of Sardine.ai, who will explain how their AI Agents tackle the tedious tasks that hamper crime-fighting teams large and small. He'll first demonstrate some of the most diabolical tricks from the field, then show how Sardine's platform leverages a mosaic of data and algorithms to isolate risks, and nullify fraud.   He'll be joined by Mark Madsen of Third Nature, who will offer insights into the what, how and why of today's most advanced threat detection systems.   Attendees will learn: •  Why 3 billion devices can't be wrong •  Which data sets can be combined to identify fraud •  How Financial Crimes Units are innovating with AI •  What can be done to future-proof your risk programs

The revolution has begun. AI will rewrite most major enterprise applications. Analytics will play a central role, but big questions remain. How can deterministic BI meld with probabilistic AI? How will fast-evolving AI systems be effectively governed? What's the secret to building trust in data and interactive dashboards in this new era? Register for this episode of DM Radio to learn how AI-enabled solutions will leverage industrial engineering at scale. Jeff Hainsworth of insightsoftware and Mark Madsen of ThirdNature will dive into the details for building next-gen applications that leverage embedded analytics and natural language processing. Attendees will learn how to harness: * Big/complex data sources requiring real-time streaming * Deep visualization beyond charts: diagrams, maps, tailored storytelling * Multiple outputs and interfaces — infinite experiences, not one-size-fits-all * Built-in data prep to avoid endless IT handoffs * Role-level security for compliance and control * Multi-tenancy to separate departments or divisions with strict boundaries