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.

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.