How can businesses harness the full potential of their data without moving it? In this episode of Tech Talks Daily, I explore this question with Ángel Viña, CEO of Denodo, a company at the forefront of logical data management and AI integration. With organizations drowning in complex data landscapes, Denodo offers a way to unify, govern, and personalize data access without the inefficiencies of traditional data movement. Ángel explains how Denodo's approach creates a seamless, federated data environment that allows businesses to extract insights from multiple sources while maintaining compliance and security. He shares how their platform leverages retrieval-augmented generation (RAG) to enhance large language models (LLMs) with corporate data, ensuring AI applications are not just powerful but also contextually aware and enterprise-ready. By partnering with Google Cloud, Amazon, NVIDIA, and OpenAI, Denodo is shaping the future of AI-driven data augmentation. As AI continues to reshape industries, many organizations struggle to develop secure and effective GenAI applications. Ángel discusses how Denodo accelerates the adoption of AI-powered data solutions, helping companies build applications that meet real business needs. He also shares insights from the upcoming O'Reilly book Logical Data Management, which provides a deeper look into how organizations can optimize their data strategies. With AI and automation transforming enterprise data, what does the future hold for self-service data access, security, and integration? How can businesses ensure their AI models are trained on the most relevant and accurate data? Join us for this deep dive into the evolving world of data management and AI-powered intelligence. Useful Links The O'Reilly Logical Data Management book that Ángel mentioned at the end of the episode is available here: and check out Denodo's blog here for more information.