DM Radio

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 of increasingly sophisticated cyber threats.

Tune in to learn how organizations can strengthen Salesforce data management, improve governance, and build a more resilient security strategy while continuing to innovate in the cloud.

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 of intelligent systems in this episode of DM Radio.

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 contextual intelligence is emerging as the key ingredient for the next generation of enterprise systems.

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 demonstrate why a solid data foundation and intelligence layer - such as provenance tracking - are crucial for AI trust. They will show how AI Agents, RAG Architectures, and next-generation discovery platforms will only coalesce around trusted, contextualized data.

Attendees will learn:

• Why semantic intelligence is becoming the control plane for enterprise AI
• How metadata, lineage, and provenance improve trust and reduce hallucinations
• Why knowledge graphs outperform siloed architectures for AI-driven discovery
• How AI-ready architectures support RAG, agentic AI, and contextual reasoning at scale

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 tools weren't built to address, and why the fix has to happen at the access point. We'll discuss how a single governed semantic layer acts as the sole MCP for AI data access, enforcing row- and column-level security, logging every query with full user attribution and deterministic lineage, and satisfying the individual attribution requirements regulators are actively closing in on without sacrificing architectural control or LLM flexibility.

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.

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 results of GenAI can be inaccurate, but their ease of use and relatively low cost will trump those concerns.

Check out this hard-hitting session to hear DM Radio Host, Eric Kavanagh explain what's happening and why it matters to analysts everywhere. He'll examine the impact on the analytics industry, and explore ways that these vendors can stay relevant. He'll also offer advice for businesses looking to remain data-driven, and why data prep is where the action will be.

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 everything from market research and customer insights to enterprise workflows and software development.

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 press releases to poetry, a handful of enterprise engineers have been busy crafting a hybrid solution that fuses the generative power of LLMs, with the determinism of enterprise systems of record.

Register for this DM Radio to learn how today's innovators are building solutions that are agile and bulletproof. Host Eric Kavanagh will be joined by industry legend Sam Yen, former Chief Innovation Officer for JPMorganChance, now the GM for Everest Systems. He'll show how hybrid AI systems are eclipsing legacy architectures, and solving technical debt once and for all.

Join this episode of DM Radio, as host Eric Kavanagh sits down with Marty Pesis of Troveo AI to explore one of the most critical - and least understood - layers of the AI economy: training data.

From licensing massive video and audio libraries to structuring petabytes of content for frontier AI labs, you'll learn how data quality, uniqueness, and scale are shaping the next generation of AI models.

Dive into the operational realities of managing enormous datasets, the growing value of proprietary content, and why differentiated training data may become the true competitive advantage in AI. Take an inside look at the infrastructure powering today's AI boom - and the business models emerging around it.