DM Radio

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.

Join this episode of DM Radio 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.

Amid all the noise of AI hype, one thing remains constant: organizations still rely on trusted, reliable reporting as the foundation for decision-making. In fact, reporting is becoming more critical in an AI-first world, because governed, auditable data underpins every intelligent outcome. The question is how to architect for performance, scalability, and user expectations.

In this episode of DM Radio, Host Eric Kavanagh will be joined by Evelyn Chou and Jeff Hainsworth of insightsoftware Data + Analytics. We'll explore how architectural choices fundamentally shape reporting outcomes. Where should processing occur? There are key differences between web-based and server-side approaches, such as tradeoffs in interactivity, precision, scalability, and embedded analytics.

We'll also discuss the growing case for a hybrid strategy, where multiple reporting engines work together to meet diverse enterprise needs. From high-volume, back-end report generation to rich, interactive user experiences, modern analytics stacks increasingly demand flexibility, which should ideally be baked into the analytic architecture, not bolted on.

Join this episode of DMRadio with Jagdeep (Jag) Bedi of Purchasing Power, Sami Akbay of Dagen.ai and Mark Madsen of Third Nature, who explore how the rapid evolution of AI is reshaping the roles of data scientists, engineers, and business leaders.

Dive into the shift from simple prompt-response systems to autonomous AI agents capable of planning, acting, and learning in real time. Learn more about the enduring importance of data as the foundation of AI, even as trends like "vibe coding" emerge. Tune in for a practical, forward-looking discussion on how organizations can navigate this fast-changing landscape and unlock real value from AI.

It's often not the model, the data, or even the technology. The failure rate of AI initiatives mostly stems from organizational friction. That's good news, because it should be fairly easy to solve. So says Sarang Bapat, a seasoned SVP of Data and Analytics, who crafted a heartfelt methodology that can energize your team, and breathe life into your AI initiatives.

Register for this DM Radio Virtual Summit to learn how a simple thought experiement can supercharge your Data and AI Initiatives. Bapat will demonstrate how he leads teams with an intutive balance of three equally critical components:

* Head — defining the right business idea or use case by working with subject matter experts who have strong domain experience and insights; * Hands — translating that idea into a technically sound, scalable solution, ideally leveraging existing infrastructure; and, * Heart — championing, communicating, and democratizing the capability so it's adopted throughout the organization.

Sustainable impact happens only when Head, Hands, and Heart work together, when business-led ideas are built with rigor and actively socialized, trusted, and reused across teams. That's when data initiatives stop being experiments and start becoming enterprise capabilities that drive productivity, simplify processes, and improve customer and employee experiences at scale.

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.