Denodo Data Bites

We’re excited to bring you the third and final episode of Executive Spotlight, our series featuring Denodo executives and thought leaders shaping the future of data and AI. In this episode, we're once again joined by Alberto Pan, Executive Vice President & Chief Technology Officer and Ravi Shankar, Senior Vice President & Chief Marketing Officer to unpack the final set of predictions from Denodo’s 2026 Data Predictions Report. The discussion focuses on what will truly determine AI success in 2026 - measurable ROI, strong AI and data governance, the rise of Autonomous BI, and the often-overlooked human side of AI adoption.Key Insights from This Episode ROI Becomes the Deciding Factor for AI and Cloud Investments: As enterprises move beyond the AI hype cycle, boards and CFOs are demanding clear, measurable returns. By 2026, AI initiatives will only move forward if they demonstrate tangible business value - such as cost reduction, faster decision-making, or revenue growth. The focus shifts from “what AI can do” to “what value it delivers,” pushing organizations to prioritize technologies like Logical Data Management that connect AI models directly to trusted business data and accelerate time-to-insight.AI Governance Depends on Strong Data Governance: Successful AI governance cannot exist without robust data governance. As AI becomes more deeply embedded in business processes, organizations must ensure their systems are explainable, auditable, and safe. Active data governance - applying semantics, quality, privacy, and security controls dynamically at the moment of data access - becomes essential. In 2026, the dependency chain becomes clear: trusted AI outcomes require AI governance, and AI governance depends on strong, active data governance foundations.Autonomous BI Democratizes Analytics Through AI Agents: AI-powered analytics is entering a new phase with the rise of autonomous BI. Reasoning agents can now perform complex, multi-step analysis by creating research plans, accessing enterprise data, identifying patterns, and explaining results with full lineage. This fundamentally reshapes the role of BI teams - shifting analysts from report builders to strategic guides. At the same time, business users gain the ability to ask complex questions in natural language and receive trusted, explainable insights, dramatically expanding access to analytics across the organization.Human Readiness Becomes the Next AI Bottleneck: While AI innovation continues to accelerate, human adoption is emerging as the limiting factor. Organizations may deploy powerful models, but without trust, skills, and cultural readiness, value remains unrealized. Bridging this gap requires investment in enablement, upskilling, governance frameworks, and human-in-the-loop workflows. Empowering employees with self-service capabilities and business-friendly ways to interact with data allows them to collaborate effectively with AI and confidently guide its decisions.Why This Matters By 2026, successful AI adoption will no longer be defined by experimentation or technical sophistication alone. It will depend on measurable ROI, strong governance foundations, democratized intelligence, and people who are equipped to work alongside AI. Organizations that align technology, governance, and human readiness will be best positioned to scale AI responsibly and sustainably.🎧 Tune in to the final episode of Denodo’s 2026 Data Predictions series to learn how enterprises can move from AI ambition to real-world impact - and prepare for the next phase of intelligent transformation.Visit the Denodo Data Bites Podcast Series page to check out more episodes.

We’re excited to bring you the second 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, explore the next set of predictions from Denodo’s 2026 Data Predictions Report. The discussion focuses on how geopolitical pressures, regulatory mandates, and real-world AI use cases are reshaping enterprise data architectures - and why Logical Data Management is becoming essential for compliance, safety, and production-ready AI. Key Insights from This Episode Geopolitics Drives the Sovereign Data Fabric As global regulations and geopolitical instability intensify, data sovereignty and portability are becoming mandatory. Logical Data Management enables enterprises to avoid cloud lock-in, comply with regulations like the EU Data Act, and share data securely across regions without replication.Physical AI Moves from Concept to Reality AI is no longer confined to software. Autonomous manufacturing, robotics, and real-world AI systems demand ultra-real-time, governed data that combines sensor-level inputs with business context. Logical Data Management delivers trusted, real-time Data Products to power safe and autonomous Physical AI. Domain-Specific Language Models Reduce GenAI Risk General-purpose LLMs struggle with accuracy and hallucinations.Domain-Specific Language Models (DSLMs), combined with semantic, domain-driven Data Products, enable AI systems to deliver accurate, compliant, and production-ready intelligence. Why This Matters As AI moves into regulated, high-risk, and real-world environments, enterprises must shift from experimentation to governed execution. Logical Data Management provides the sovereign, real-time, and semantic foundation required to scale AI safely, comply with global regulations, and unlock measurable business value. Tune in now to discover how these predictions will shape enterprise data strategies in 2026 - and how your organization can prepare for the next phase of AI-driven transformation.Visit the Denodo Data Bites Podcast Series page to check out more episodes.

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 Autonomous AI Becomes Operational - AI is moving into agentic, decision-making roles - but only for organizations with real-time, trusted, semantically governed data.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.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.

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.

Our First-Ever Customer Podcast Episode! In this landmark episode of Denodo Data Bites, we’re thrilled to bring you our very first customer podcast - and it’s all about something that’s becoming increasingly essential in the world of data: certification. As data skills grow in demand, certifications are more than just a line on your résumé - they’re a way to validate expertise, boost your career, and stand out in a competitive market. But what’s the real value of getting certified? And how do successful professionals prepare for the journey?To answer these questions, we’re joined by two remarkable guests:✈️ José Pallas, Data Leader at Vueling, one of Europe’s top low-cost airlines. With 20+ years in IT, José leads the charge in building a modern Data Fabric and is a Denodo-certified expert in data governance and virtualization.🚘 Hananto Prabowo, Data Expert at Continental, a global leader in automotive technology. As the Application Owner of MUSTANG Analytics, he drives agile, data-centric initiatives across the organization.Together, they’ll explore: Why certifications matter – Personal growth, career goals, or business needs? How to prepare – Study tips, resources, and hands-on training that really work. What to expect – Real exam experiences and practical takeaways. Which certifications are valuable – And how they impact your career. Advice for professionals – Making the most of your certification journey.  🎓 Ready to elevate your data certifications game? Don’t miss this episode - and be sure to explore our Denodo Certification Program page on our Community site and explore the Denodo AI SDK Certified Developer Associate certification to take your skills to the next level! For more details, please visit the Denodo Data Bites Podcast Series page.

We’re excited to bring you another thought-provoking episode in Season 4, The Data-AI Loop: How Circularity Drives Innovation! Joining us today is Andrea Zinno, Data Evangelist at Denodo, who brings over three decades of experience in IT, covering Machine Learning, Digital Transformation, Advanced Data Analytics, and Innovation. In this episode, we explore the concept of the Data-AI Loop—a continuous cycle where data fuels AI, and AI, in turn, refines and enhances data, driving ongoing learning and adaptation. We’ll dive into key areas, including: Circularity Between Data & AI – How a continuous feedback loop strengthens AI models and prevents deterioration. Data Quality & AI Performance – The critical role of data quality, bias mitigation, and dataset relevance in AI training. Challenges in AI & Data Management – Addressing explainability, trust, hallucinations, and privacy concerns. AI’s Learning vs. Human Learning – Why AI models must continuously adapt and where they fall short compared to human cognition. Optimizing AI with Denodo – How companies can leverage data virtualization to streamline AI training and enhance efficiency. Tune in as we uncover the transformative power of the Data-AI Loop and its implications for organizations looking to stay ahead in the AI-driven world.

Welcome to the Denodo Data Bites Podcast!We’re thrilled to launch Season 4 with an exciting new episode, "2025 Data Trends: Predictions from Angel Viña"! In this inaugural episode, we’re joined by none other than Angel Viña, the visionary CEO and founder of Denodo, to uncover the trends that will shape the future of data management in the coming year.In this episode, Angel shares his expert insights on:Hybrid Cloud Architectures: Addressing data sovereignty and privacy concerns while leveraging the scalability of public clouds.Unified Multi-Cloud Management: Advancements in tools that enhance data governance and seamless integration across providers like AWS, Azure, and GCP.The Evolution of Data Products: How innovations in their lifecycle management are driving accessibility and democratization.AI-Powered Data Discovery: Enhancing classification, cataloging, and query optimization for improved efficiency.GenAI and Data Management: The role of Retrieval-Augmented Generation (RAG) in providing real-time context for enterprise AI applications.Tune in to gain actionable insights and hear from one of the industry’s leading minds as we explore how data management is evolving to meet the challenges and opportunities of 2025.

Welcome to Denodo Data Bites, your go-to podcast for cutting-edge insights into data management, integration, and innovation. In our latest episode, we’re diving into a game-changing offering: Agora, Denodo's Cloud Service. This episode features special guest Kevin Bohan, Denodo’s Director of Product Marketing. Kevin brings a wealth of expertise in modern data strategies and shares his perspective on how Agora empowers businesses to achieve unmatched agility. Discover how Agora: Extends the powerful capabilities of the Denodo Platform to the cloud. Offers fully managed, scalable, and consumption-based solutions, tailored to meet the needs of businesses with fluctuating demands. Enables seamless data management with end-to-end oversight while keeping your data securely within your environment. Whether you’re a seasoned data professional, a cloud enthusiast, or a business leader exploring new technologies, this episode delivers actionable insights into the value of adopting Agora for scalability, compliance, and business growth. Don’t Miss Out! Learn how to get started with Agora and unlock the potential of a flexible, managed cloud approach to modern data solutions. Listen now and transform the way your business leverages data in the cloud.

In this exciting episode of the Denodo Data Bites series, we’re thrilled to highlight Denodo 9.1- the latest evolution in intelligent data fabric and AI-driven data management. Join Dominic Sartorio, Vice President of Product Marketing at Denodo, as he delves into the transformative power of intelligent data fabric and GenAI. Discover how Denodo 9.1 equips organizations to navigate complex data challenges with agility and precision. What You’ll Learn: Revolutionizing Data Fabric: Learn how Denodo 9.1 sets a new standard in intelligent data management, enabling seamless access, integration, and delivery of data at scale. GenAI Capabilities: Explore how advancements in AI are driving actionable insights and automation, redefining how businesses interact with data. Overcoming Data Complexity: Uncover strategies for tackling the challenges of siloed, fragmented data systems while reducing costs and accelerating decision-making. Delivering Business-Ready Data: See how Denodo 9.1 empowers organizations to deliver data in the language of business users, ensuring relevance and usability at every level. Denodo 9.1 combines the power of intelligent data fabric with GenAI, offering unmatched performance, scalability, and simplicity. Whether you're streamlining data operations or driving AI-enabled insights, Denodo 9.1 is your gateway to next-gen data management. Discover how Denodo 9.1 can help your organization unlock the full potential of your data.

We’re thrilled to present "The Future of Data Management in the Face of GenAI: What to Expect in the Next Decade." Join us as we explore this transformative topic with Suresh Chandrasekaran, Executive Vice President at Denodo. In this episode, Suresh delves into: How Generative AI will revolutionize data management in the next 10–15 years. The importance of ensuring accuracy and relevance in AI-generated insights, and how to avoid challenges like AI hallucinations. Strategies businesses can adopt to safeguard data privacy and ensure the trustworthiness of their data in a GenAI-driven world. The impact of new technologies like Retrieval-Augmented Generation (RAG) on managing real-time data. How Generative AI can democratize data management and make it accessible to everyone. Suresh also shares his vision for leveraging GenAI to create more inclusive and innovative data strategies. Tune in to gain actionable insights on preparing for the future of data management and leveraging Generative AI to drive business success.

Welcome to the Denodo Data Bites podcast! Joining us today is Inessa Gerber, Director of Product Management at Denodo. Inessa has extensive expertise in Integration, Data Quality, and Master Data Management, with a deep focus on Data Fabric and enterprise architectures. She’s passionate about helping businesses unlock the power of their data to drive innovation and value. In this episode, we’ll explore Leveraging a Data Catalog for Instant Self-Service Success. Inessa will guide us through: The concept of a data catalog and how it empowers teams with self-service capabilities. Key features that enable businesses to access and understand data within minutes. Steps to quickly implement a data catalog for operational efficiency. Real-world examples of companies using data catalogs to drive faster decision-making. Tune in to learn how a data catalog can transform your business and accelerate your digital transformation journey.

Welcome to the Denodo Data Bites podcast! We’re thrilled to present our latest episode, "Elevating Customer Experience: Building a Roadmap for Success." Join us as we dive into this insightful conversation with Richard Walker, Senior Vice President and Chief Customer Officer at Denodo. In this episode, Richard explores: The importance of creating a Customer Journey Roadmap for businesses. How journey mapping enhances the overall customer experience. Key elements every successful roadmap should include. Overcoming common challenges when implementing a roadmap. A real-life case study of customer experience transformation through effective journey mapping. Tune in to gain valuable insights into building a customer-centric strategy and driving business success through superior customer experiences.