Tech Talks Daily

3100: How Denodo is Building Smarter AI with Real-Time Data Integration


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Have you ever wondered what it takes to transform data management into a fearless, innovative journey that empowers businesses to thrive in a data-driven world? In this episode, I’m joined by Alberto Pan Executive VP & CTO at Denodo, a global leader in logical data management and integration.

Alberto takes us through Denodo's remarkable growth story and its groundbreaking innovations, including the Denodo 9 Platform and its recent advancements in Generative AI.

As businesses grapple with the complexities of Generative AI, Denodo is stepping up with pioneering solutions. Alberto discusses how their collaborations with Google Cloud Vertex AI, Amazon Bedrock, Nvidia, and OpenAI are revolutionizing enterprise AI initiatives. 

Through Retrieval Augmented Generation (RAG), Denodo is enhancing AI applications by connecting large language models with up-to-date corporate data, addressing challenges like security, privacy, and query accuracy. These advancements not only enable the creation of intelligent virtual assistants but also significantly improve enterprise AI’s ability to meet real-world business needs.

Alberto also shares the unique features that set Denodo apart, emphasizing the value of its logical data platform for delivering data at the speed of business. From real-time unified data access to a semantic layer that ensures accuracy and governance, Denodo’s innovations are driving efficiency and ROI for organizations across industries.

We’ll also explore future trends in enterprise AI, from the importance of solid data foundations to the increasing convergence of structured and unstructured data. With insights into Denodo’s partnerships and tools like the Denodo AI SDK, this episode is packed with actionable takeaways for anyone navigating the rapidly evolving data landscape.

How do you see Generative AI shaping the future of data management? Tune in to the discussion, and let us know your thoughts!

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Tech Talks DailyBy Neil C. Hughes

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