Quantum Computing Beyond the Hype
DMRadio Podcast
What does it take to move quantum computing from the lab to the enterprise? Join this episode of DMRadio to hear host Eric Kavanagh interview Yuval Boger, Chief Commercial Officer at QuEra Computing. Learn how the industry is shifting its focus from scientific milestones to solving real business challenges - from discovering new materials to optimizing supply chains - and what that means for the future of quantum.
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Securing Salesforce Data in the AI Era
DMRadio Podcast
Join this episode of DM Radio as host Eric Kavanagh sits down with Sovan Bin, CEO and Founder of Odaseva, to explore the growing challenges of managing and securing Salesforce data in today's AI-driven world. Drawing on his experience as a Salesforce architect, Sovan shares how conversations with enterprise customers revealed critical gaps in data governance, security, and control as organizations moved from on-premises systems to the cloud. Find out how those challenges inspired the creation of Odaseva and why protecting mission-critical CRM data has become more important than ever in an era...
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Network Intelligence & AI-Ready Data
DMRadio Podcast
Join this episode of DM Radio as host Eric Kavanagh explores how organizations are turning complex enterprise data into actionable intelligence. First, he interviews Darren Fullwell of IP Fabric, who explains how network digital twins give IT teams complete visibility into their environments. Next, Rivers Morrell and Dr. Reza Nehzati of HeyDonto, joined by Mark Madsen of Third Nature, discuss Data Field Theory and a new approach to preparing structured and unstructured data for trustworthy AI. Hear practical insights into enterprise networking, AI, data architecture, and the future...
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DM Radio Live from Accelerate: Why Context Is the Missing Link for Enterprise AI
DMRadio Podcast
Recorded live at the Accelerate conference, this episode of DM Radio explores why data - not applications - is becoming the foundation of enterprise AI. Join host Eric Kavanagh as he speaks with Chadd Kenney of Everpure about the shift toward data-centric architectures and the importance of shared context for powering intelligent AI agents and real-time decision-making. Next, Shawn Rosemarin of Everpure explains why context is to AI what memory is to humans, illustrating how connected, meaningful data enables more accurate, trustworthy outcomes. Together, these conversations reveal why...
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Building an AI-Ready Knowledge Architecture
DMRadio Podcast
The forcing function of AI continues to reshape how organizations think about data architecture. It’s no longer enough to simply centralize information in warehouses and lakes. AI systems require context, lineage, relationships, governance, and semantic understanding to deliver trustworthy outcomes at scale. The solution? An AI-ready knowledge architecture. On this episode of DM Radio, we’ll examine the nexus of semantic intelligence and metadata management as core components of an enterprise knowledge graph. Eric Kavanagh will host Sebastian Schmidt of Digital Science, who will...
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The Single MCP Approach to Compliant AI
DMRadio Podcast
AI agents are now standard in enterprise workflows but most organizations have no idea they've created a governance time bomb. When agents connect to Salesforce, Snowflake, Tableau, and a dozen other systems through separate MCPs, the result is a fragmented audit trail with no single record of who accessed what data, under whose authorization, or how an answer was generated. Under GDPR, HIPAA, SOX, and the EU AI Act, that's big regulatory exposure. Join Shawhin Mosadeghzad and Terrence Sheflin as they examine why multi-MCP architectures create compliance gaps that traditional data governance...
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DMRadio Special: Conversations from We Make Future
DMRadio Podcast
Join DMRadio for a compilation of interviews recorded live at We Make Future in Bologna, where industry experts share perspectives on data management, AI, analytics, cloud technologies, and innovation across the enterprise.
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The 'Death' of Analytics Vendors
DMRadio Podcast
A mass extinction event approaches, but not because of a meteor or global warming. The culprit this time is AI, and in particular, Large Language Models like ChatGPT and Claude. In their crosshairs are a slew of vendors selling analytical functionality: dashboards, visualizations, analyses, semantic layers, OLAP cubes and the like. For decades, these vendors have dominated enterprise decision-making, commanding 5, 6, even 7-figure pricetags to provide the scaffolding needed for insights. The LLMs now threaten that entire landscape, disrupting the foundation of data-driven workflows. True, the...
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AI-Native Innovation: Synthetic Market Research and the Future of SaaS
DMRadio Podcast
Join this episode of DM Radio as host Eric Kavanagh speaks with Kamila Zahradnickova of Lakmoos and Tim Lidman of Clyde about two distinct but transformative applications of AI. Learn how Lakmoos uses mathematical simulation models and AI-powered digital twins to help organizations test products, campaigns, and business decisions before launching them in the real world. Next, learn lessons from building and selling ThinkTank to Accenture and why SaaS is evolving - not disappearing - as AI-native applications reshape software design and user experiences. Explore how AI is changing...
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Technical Debt: The Hand You Hold...
DMRadio Podcast
In their song, Everything to Everyone, the band Everclear gave voice to every IT team on the planet who struggles to keep the lights on due to the ever-rising tide of technical debt and SaaS licensing. "The hand you hold is the hand that holds you down!" Of course, they were likely not explicitly referencing the IT landscape, but the mantra surely sticks. Today, at long last, there is a ray of hope for these battle-tested administrators, in the form of Deterministic Enterprise-native AI that promises more deterministic results. While GenAI grabs all the headlines for writing everything from...
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.