AI Data Bites (Powered by Denodo)

We’re excited to bring you a new episode of Executive Spotlight, our series featuring Denodo executives and thought leaders shaping the future of data and AI. In this episode, Ravi Shankar, Senior Vice President & Chief Marketing Officer, and Alberto Pan, Executive Vice President & Chief Technical Officer, walk us through the first three predictions from Denodo’s 2026 Data Predictions Report. Together, they explore the architectural and strategic shifts enterprises must make as AI evolves from simple copilots to fully autonomous operators. Key Insights from This Episode 

1. Autonomous AI Becomes Operational - AI is moving into agentic, decision-making roles - but only for organizations with real-time, trusted, semantically governed data.
2. Logical Data Management Surpasses the “One Big Lakehouse” - As multi-cloud and multi-lakehouse environments become the norm, Logical Data Management emerges as the only scalable way to unify and govern distributed data without excessive replication.
3. AI-Ready Data Becomes a Board Priority - With rising investment but low production success rates, enterprises are shifting their focus from experimenting with AI tools to strengthening the underlying data foundation. 

Why This Matters As the industry transitions from AI hype to practical, governed AI outcomes, Logical Data Management provides the foundation needed for real-time intelligence, autonomy, and business value. Tune in now to learn how these predictions will shape enterprise data strategies in 2026 - and how your organization can prepare.

We’re excited to bring you a brand-new episode of Executive Spotlight, our special series where we sit down with Denodo executives and thought leaders who are shaping the future of data-driven innovation. In this episode, we’re joined by Ravi Shankar, Senior Vice President and Chief Marketing Officer at Denodo, and Alberto Pan, Executive Vice President and Chief Technical Officer at Denodo. Together, they explore how organizations can modernize their data strategies through Logical Data Management (LDM) - the foundation of next-generation architectures like Data Fabric and Data Mesh. Based on the new O’Reilly publication, The Rise of Logical Data Management by Christopher Gardner, this discussion uncovers how enterprises can unify, govern, and deliver data faster and smarter across today’s hybrid, multi-cloud, and AI-driven environments. Key Insights from the O'Reilly book: 

• The Logical Layer Advantage: How LDM simplifies complex architectures and eliminates data silos.
• AI Readiness: Why LDM delivers trusted, explainable, and real-time data for AI applications.
• Self-Service with Governance: How organizations empower business users without losing control or compliance.
• Scalability and Performance: How Denodo’s logical approach ensures security, speed, and efficiency across distributed data.
• Faster Time-to-Data: How enterprises using LDM achieve up to 4x faster access to insights while reducing integration effort by 75%. 

Access the full book, The Rise of Logical Data Management (by O’Reilly) here. Tune in now to discover how Logical Data Management is transforming the way enterprises think about data - enabling agility, trust, and intelligence in the age of AI.

(00:00:00) Introduction - Inessa Gerber, Director of Product Management

(00:01:12) What makes DeepQuery different from traditional AI

(00:03:00) How agentic AI performs multi-step analytical reasoning for deeper insights

(00:05:41) Real-world use cases across healthcare, finance, education, and public services.

(00:09:57) Why Denodo is uniquely able to deliver DeepQuery

(00:12:15) Why Denodo offers both Query RAG and DeeoQuery

(00:14:57) How developers can easily integrate DeepQuery through the Denodo AI SDK

(00:17:13) Conclusion / Summary

In this episode of Denodo Data Bites, Inessa Gerber, Director of Product Management at Denodo explores Denodo DeepQuery - a breakthrough innovation that brings agentic AI and reasoning capabilities directly into your data environment. Unlike traditional tools that simply generate SQL or retrieve answers, DeepQuery thinks like a data analyst, uncovering not just what happened but why it happened and what to do next. You’ll hear how DeepQuery moves beyond Query RAG to perform multi-step reasoning, synthesizing insights, evidence, and recommendations across complex, distributed data systems. Inessa also explains how DeepQuery leverages semantic unification, real-time access, and federated governance to deliver transparent, explainable AI that supports strategic decision-making across industries—from healthcare and finance to education and public safety. Whether you’re a data leader, AI developer, or innovation strategist, this episode offers an inside look at how reasoning-driven AI can transform data analysis into actionable strategy. What You’ll Learn in This Episode: 

• What makes DeepQuery different from traditional AI or Query RAG approaches.
• How agentic AI performs multi-step analytical reasoning for deeper insights.
• Real-world use cases across healthcare, finance, education, and public services.
• Why semantic unification and real-time federated access are key to explainable AI.
• How developers can easily integrate DeepQuery through the Denodo AI SDK. 

Listen now to discover how Denodo DeepQuery is redefining enterprise AI - taking it from simple answers to deep, strategic reasoning.

We’re excited to bring you a brand-new episode of Executive Spotlight, our special series where we sit down with business and industry leaders who are redefining the future of data-driven innovation. In this episode, we’re joined by Ravi Shankar, Senior Vice President and Chief Marketing Officer at Denodo, and Andrew Milroy, Chief Analyst at Veqtor8. Together, they explore how organizations are maximizing their ROI with Denodo, accelerating insights, and achieving AI readiness alongside modern data lakehouse architectures. Andrew shares his findings from his recent white paper, “The ROI of Using the Denodo Platform alongside the Modern Data Lakehouse,” highlighting how enterprises worldwide are realizing significant financial and operational gains by combining Denodo’s logical data management with leading lakehouse platforms like Snowflake and Databricks.

💡 Key Insights from This Episode: 

• Unlocking ROI: How enterprises achieved a remarkable 345% ROI over three years, saving millions in data management costs.
• Engineering Efficiency: Why organizations using Denodo reduced data integration effort by 75% and accelerated delivery of insights.
• Infrastructure Optimization: How avoiding data duplication led to over 60% cost savings across systems.
• Faster Insights: How logical data management enables 3–4x faster time-to-insight compared to traditional approaches.
• Governance and Trust: Why integrated governance and metadata management reduced compliance costs by 77%.
• AI Readiness: How Denodo’s logical layer delivers trusted, real-time, AI-ready data to power advanced analytics and innovation. 

Tune in to hear how Denodo empowers enterprises to cut costs, accelerate insights, and unlock AI potential - all while maximizing the value of their existing lakehouse investments.

In this episode of Denodo Data Bites, Kevin Bohan, Director of Product Marketing at Denodo, discusses how AI is evolving across the enterprise. From early descriptive and predictive analytics to the rise of Generative AI and Agentic AI, Kevin explains how each phase expands the questions AI can answer and the impact on decision-making. You’ll hear how reasoning models are taking AI beyond answers to explain the “how” and “why” behind insights. Kevin also highlights the importance of real-time, governed, and connected data as the foundation for AI effectiveness, giving organizations the ability to generate actionable insights across complex, siloed data environments. Whether you’re a data strategist, AI enthusiast, or tech leader, this episode offers practical insights, real-world examples, and a clear path forward for organizations looking to leverage AI responsibly and effectively. What You’ll Learn in This Episode: 

• The major phases of AI evolution and how they impact enterprise decision-making.
• What prompted the industry-wide pivot to Generative AI.
• How Agentic AI differs from traditional GenAI and why it matters.
• Why AI’s effectiveness depends on robust data infrastructure.
• What reasoning models are and how they generate actionable insights. 

🎧 Listen now to discover how enterprises are moving from answers to deep, strategic insights using AI, modern data, and advanced reasoning models.

Welcome to the Denodo Data Bites Podcast! 

We’re excited to bring you a brand-new episode of Leadership Lens, our special executive series where we sit down with the visionaries shaping the future of data. In this episode, we’re joined by Alberto Pan, Chief Technical Officer at Denodo and one of the driving forces behind Denodo’s vision for logical data management. Together, we’ll explore how the Lakehouse+ approach is transforming data architectures to deliver AI-ready, trusted, and business-ready insights.

Alberto shares his expertise on: 

• The Rise of Lakehouse Architectures: Why organizations are embracing the lakehouse model to unify data lakes and warehouses. 
• Challenges in Practice: Common limitations with agility, governance, and real-time access that enterprises face with standalone lakehouses. 
• Introducing Lakehouse+: How Denodo’s logical data delivery layer enhances lakehouses with semantic context, governance, and reusability. 
• The Role of Data Products: Enabling scalable, self-service access and supporting enterprise-wide data democratization. 
• AI Readiness with Lakehouse+: Unlocking secure, context-rich data access for both data scientists and AI agents. 
• Integration with Platforms like Databricks & Snowflake: How Denodo amplifies the value of modern lakehouse investments. 

Tune in to hear Alberto Pan’s leadership perspective on how Lakehouse+ helps enterprises build a resilient, governed, and AI-ready data ecosystem.

In this insightful episode of Denodo Data Bites, host Neha Gurudatt sits down with Errol Rodericks, Director of Product Marketing for EMEA & LATAM at Denodo, to explore how the insurance industry is transforming in the age of Generative AI and advanced data management. From faster, more accurate claims processing to proactive fraud detection, Errol shares how GenAI and data products are reshaping insurer capabilities. You’ll hear how combining real-time and historical data drives better decision-making, and why Logical Data Management is the smarter, future-proof approach to integrating massive, growing volumes of data from diverse sources. Whether you’re an insurance professional, data strategist, or tech leader, this episode offers practical insights, real-world examples, and a clear path forward for organizations ready to modernize. What You’ll Learn in This Episode: 

• What Generative AI really means for insurance - and how it’s being applied today. 
• Why speed and accuracy in claims processing require fresh, integrated data. 
• How insurers are preventing fraud using AI-powered data products. 
• Why Logical Data Management beats traditional integration approaches. 
• The risks of not modernizing data and claims processes - and how to avoid them. 

🎧 Listen now to discover how insurance leaders are building smarter, faster, and more secure claims operations for the future.

Welcome to the final chapter of our special 3-part series on Scaling Innovation with Denodo 9.2! In this episode, we dive into one of the most critical conversations in today’s data landscape — how organizations can rethink data management to thrive in the age of AI. From integrating with LLMs to self-service data discovery, Denodo 9.2 introduces AI-powered capabilities that accelerate innovation without sacrificing governance or trust. Joining us is Dominic Sartorio, VP of Product Marketing at Denodo, who breaks down the real-world challenges of AI-driven transformation — and how organizations can stay agile, secure, and compliant while working with structured and unstructured data. 🎧 Listen now to explore: 

• Why AI is reshaping our definition of “trusted data” 
• How enterprises are extracting insights from unstructured data securely 
• Tools like the AI SDK and Denodo Assistant that simplify data access for AI teams 
• What a semantic layer means for lakehouse platforms like Snowflake and Databricks 
• How to strike a balance between fast innovation and responsible AI use 

Whether you’re an AI leader, data architect, or just curious about the future of data management - this episode is packed with practical takeaways.

🚀 Ready to Empower Your Teams with Self-Service Data Access? In this episode of Denodo Data Bites, we explore one of the most game-changing capabilities in the world of modern data management—Data Marketplaces. We’re diving deep into how organizations can unlock true data democratization through governed, user-friendly, and scalable data marketplaces that empower both people and AI. Joining the show is Kevin Bohan, who returns to share expert insights on: 

• What a data marketplace really is - and how platforms like Denodo are reimagining it 
• Why traditional data catalogs fall short for business users 
• How Denodo delivers an e-commerce-style experience for data discovery and access 
• Balancing self-service and governance without compromise 
• Enabling GenAI tools and intelligent agents to tap into governed, real-time data 
• Practical advice on how to launch a successful data marketplace 

💡 Spoiler alert: Denodo’s marketplace isn’t just another catalog - it’s a dynamic storefront built on a semantic layer, complete with personalization, natural language search, built-in policy enforcement, and even collaboration tools. Whether you’re enabling analysts, business teams, or AI copilots - this episode will show you how to turn data into action. 

🎧 Listen now to discover how governed marketplaces can scale access without chaos - and why they're a cornerstone of your modern data strategy.

We’re excited to bring you another insightful episode in Season 4, Scaling Innovation with Data Products! This episode is part 1 of a 3-part series focusing on the key features of Denodo 9.2.

Joining us today is Kevin Bohan, Director of Product Marketing at Denodo, who brings a wealth of experience in product marketing and data strategy. 

In this episode, we delve into the concept of Data Products - curated, reusable datasets packaged with everything a user or system needs to understand and trust them. We’ll explore key areas, including: 

• Understanding Data Products – What they are and why they are gaining traction in the data world. 
• Operationalizing Data – How treating data as a product can drive self-service analytics and generative AI. 
• Building Trust in Data – The importance of trusted, governed, and reusable data assets. 
• Scaling Data Initiatives – Strategies for creating, managing, and reusing data products across departments and domains. 
• Optimizing AI with Data Products – How companies can leverage data products to enhance AI readiness and efficiency. 

Tune in as we uncover the transformative power of Data Products and their implications for organizations looking to scale innovation and accelerate AI initiatives.