<b>Where Enterprise AI Meets Trusted Data.</b><br /><br />Are you navigating the rapidly evolving AI landscape and looking to turn complex data into measurable business value?We have you covered. <br /><br />AI Data Bites brings together technology leaders, AI practitioners, and data innovators to discuss the strategies, architectures, and real-world applications driving the next generation of intelligent enterprises.<br /><br />From Generative AI and robust governance to logical data management and real-time analytics, our conversations cut through the hype to deliver actionable, executive-level insights.<br /><br />Check out the AI Data Bites podcast today to learn how leading organizations turn trusted data into smarter decisions and sustainable competitive advantage.
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<b>Where Enterprise AI Meets Trusted Data.</b><br /><br />Are you navigating the rapidly evolving AI landscape and looking to turn complex data into measurable business value?We have you covered. <br /><br />AI Data Bites brings together technology leaders, AI practitioners, and data innovators to discuss the strategies, architectures, and real-world applications driving the next generation of intelligent enterprises.<br /><br />From Generative AI and robust governance to logical data management and real-time analytics, our conversations cut through the hype to deliver actionable, executive-level insights.<br /><br />Check out the AI Data Bites podcast today to learn how leading organizations turn trusted data into smarter decisions and sustainable competitive advantage.
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Publishing Since
1/1/2022
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Recent Episodes
June 29, 2026
Denodo on Active Data Architecture: Trends and Outlook
Welcome to the latest episode of AI Data Bites (Powered by Denodo). As AI reshapes the enterprise, organizations are realizing that traditional data architectures are no longer enough to support intelligent, real-time action. To explore what it takes to build an AI-ready foundation, host <i>Neha Gurudatt</i> is joined by <i>Dominic Sartorio, VP of Product Marketing at Denodo</i>. Together, they break down the critical findings from the latest <a href="https://www.denodo.com/en/document/analyst-report/2025-active-data-architecture-report" target="_blank" rel="noreferrer noopener">Dresner Advisory Services Active Data Architecture Report</a> - where Denodo was named a top vendor for the second consecutive year—and discuss why a logical approach to data is becoming essential for AI-driven organizations. Key Insights from This Episode<br /><ul><li>The Shift to Active Data Architecture: Traditional data pipelines create stale snapshots that stall AI initiatives. Learn why enterprises are moving toward an active, platform-independent data layer to deliver the timely, governed, and unified (structured and unstructured) live data that dynamic AI models demand.</li><li>The Rise of the Semantic Layer: Over 60% of enterprise leaders now view semantic layers as critical. Discover how unifying technical and business metadata provides the vital context and consistency AI needs to prevent hallucination and ensure accurate outcomes. </li><li>Real-World AI in Action: See how theory translates into production. We explore how Denodo powers real-world use cases, including complex supply chain optimization at Festo, unified investment analysis at Alexander Forbes, and a secure, LLM-powered legal chatbot at Perkins Coie. </li><li>Empowering AI Developers Securely: Building AI shouldn't mean bypassing security. Learn how tools like the Denodo AI SDK allow developers to build a single data agent that connects to multiple models, accelerating project timelines through marketplace capabilities while ensuring strict lineage, privacy, and governance.</li><li>Beyond the Lakehouse: Modern platforms like Snowflake and Databricks excel at storage, but they don't inherently manage business meaning. Discover how Denodo complements existing lakehouses by adding logical modeling, auto-tagging, and unstructured data enrichment without moving a single byte of data.</li></ul>Why This Episode Matters<br /><br />The success of enterprise AI will not be determined by the complexity of the models, but by the agility, trust, and intelligence of the underlying data architecture. The Dresner report highlights a stark reality: storage-centric platforms alone cannot deliver the flexibility or semantic clarity required for advanced analytics and AI.<br /><br />This episode provides a clear roadmap for organizations looking to align their data and AI strategies. By decoupling the data consumption layer from physical storage, enterprises gain the plug-and-play flexibility to swap LLMs and toolchains as they evolve, minimizing data movement while maximizing governance and compliance. <br /><br />🎧 Join us for this episode of AI Data Bites (Powered by Denodo) and discover how a logical, active data architecture can deliver the trusted, business-ready data your AI initiatives need to scale successfully.<br /><br />Visit the <a href="https://www.denodo.com/en/podcasts" target="_blank" rel="noreferrer noopener">AI Data Bites podcast page</a> to catch future episodes throughout Season 5.
June 4, 2026
Beyond the Model: Scaling AI with a Trusted Data Foundation
Welcome to AI Data Bites (Powered by Denodo). As AI reshapes the enterprise, the conversation is no longer just about models or insights - it’s about enabling trusted, intelligent action at scale.<br /><br />That’s why we’re going beyond traditional data discussions to explore how organizations can build the foundations that make AI actually work in production. In this episode, host Neha Gurudatt is joined by Kevin Bohan, Director of Product Marketing at Denodo, to explore what it really takes to scale AI beyond experimentation. <br /><br />From unstructured data to AI agents and conversational AI, the conversation breaks down how enterprises can move from fragmented pilots to governed, business-ready AI systems. <br /><br />Key Insights from This Episode <ul><li>Unlocking Unstructured Data for AI: Enterprises are sitting on massive volumes of unstructured data - but struggle to use it effectively. Learn what’s holding organizations back, from siloed systems and governance gaps to the complexity of separate tooling, and how a unified approach changes AI outcomes. </li><li>Scaling AI Agents Without Chaos: AI agents can quickly become unmanageable at scale when built on point-to-point integrations. Discover why complexity, inconsistent decision-making, and fragmented governance are major blockers - and how standardized, governed access layers change the game. </li><li>Building Trust in Conversational AI: Conversational AI only works when it is grounded in trusted enterprise data. Explore how governance, transparency, and explainability help reduce hallucinations and enable reliable AI-driven interactions. </li><li>Beyond the Model - The Executive Reality: AI inefficiency is often not a model problem, but a data foundation problem. Understand the hidden “data tax” enterprises are paying and why fragmented data is the real barrier to scaling AI effectively. </li></ul>Why This Episode Matters <br /><br />The future of AI won’t be defined by models alone. It will be defined by whether organizations can provide AI with connected, governed, and trusted data - at the right time and under the right controls.<br /><br />This episode highlights a critical shift: scaling AI is not about adding more tools or more models, but about fixing the data foundation that everything depends on. For enterprises aiming to move beyond pilots, building this trusted layer is what turns AI from experimentation into measurable business value. <br /><br />🎧 Join us for this episode of AI Data Bites (Powered by Denodo) and discover how leading organizations are building the trusted data foundations required to scale AI with confidence.
June 1, 2026
Bridging the AI Trust Gap: Why Live Data and Guardrails Matter
Welcome to the launch of AI Data Bites (Powered by Denodo). As AI reshapes the enterprise, the conversation is no longer just about data management - it's about enabling trusted, intelligent action. That's why we're evolving from Denodo Data Bites to AI Data Bites, a podcast dedicated to exploring the data foundations that power successful AI initiatives. <br /><br />To kick off this new chapter, host Neha Gurudatt is joined by Dominic Sartorio, VP of Product Marketing at Denodo, to discuss key findings from <a href="https://www.denodo.com/en/document/analyst-report/ai-trust-gap-report" target="_blank" rel="noreferrer noopener">Denodo's AI Trust Gap Report</a>. Based on insights from 850 enterprise leaders, the report reveals why many AI projects struggle to move beyond pilot stages and what organizations must do to build trustworthy, production-ready AI. <br /><br />Key Insights from This Episode<ul><li>Why Live Data Matters for AI: As AI evolves from answering questions to taking action, access to real-time data becomes essential. Learn why data freshness is now a critical requirement for trusted AI decision-making. </li><li>The Importance of Semantic Consistency: With enterprises sourcing data from hundreds of systems, inconsistent definitions can lead to unreliable outcomes. Discover why a shared understanding of business data is fundamental to AI success. </li><li>Closing the Guardrail Gap: As AI becomes more autonomous, governance, security, explainability, and accountability become increasingly important. Explore the guardrails organizations need to scale AI safely.</li><li>Beyond the Lakehouse: Many organizations have invested in modern data platforms but still face AI performance and trust challenges. Learn how logical data management helps connect AI to trusted, business-ready data in real time. </li></ul>Why This Episode Matters <br /><br />The future of AI won't be determined by the sophistication of models alone. It will be determined by whether organizations can provide AI with the right data, at the right time, under the right controls. <br /><br />The AI Trust Gap Report highlights a growing reality: trust has become the defining factor separating successful AI initiatives from those that stall before delivering business value. This episode provides a roadmap for closing that gap - through live data access, semantic consistency, and governance-first architectures that enable AI to operate safely and effectively at scale. <br /><br />🎧 Join us for the premiere episode of AI Data Bites (Powered by Denodo) and discover how leading organizations are building the trusted data foundations required for the next generation of AI.
71 total episodes available
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This podcast updates bi-weekly.
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This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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