Interview on Data Fabric, Data Virtualization, and AI Integration with Denodo Leaders

The interview opens with a brief overview of data fabric as an emerging data‑management technology that aims to create a flexible, scalable, and secure data environment, eliminating data silos and enabling real‑time, accurate data for business innovation.

It then highlights the growing role of generative AI and Retrieval‑Augmented Generation (RAG) in data management, explaining how AI can synthesize data, improve information retrieval, and enhance decision‑making.

Denodo founder Angel Viña and senior leaders discuss the company’s 25‑year journey, the original vision of data virtualization, challenges faced in real‑time data pipelines, and the importance of data democratization for global enterprises, especially in the Chinese market.

The conversation moves to technical challenges, describing how Denodo integrates AI into its semantic layer to optimise query execution, offers Copilot‑style conversational data access, and connects heterogeneous data sources—including structured, unstructured, on‑premise, and cloud data—in real time.

Customer stories illustrate how Denodo’s platform accelerates data access, reduces costs, and supports compliance, while emphasizing the need for long‑term planning and mature use cases.

Industry insights reveal which sectors (e.g., internet‑related, globalised businesses, new‑energy vehicles) are leading digital transformation in China and how Denodo’s solutions align with their needs.

Finally, the panel discusses the advantages of adopting a mature, vendor‑provided data‑fabric solution versus building in‑house capabilities, stressing the value of a unified, real‑time data architecture that serves both technical and non‑technical users.