Unified data fabric: Foundational Architecture for AI

As data landscapes become increasingly fragmented across various systems and platforms - including hybrid clouds, on-premises data centers, and the edge, the traditional "siloed" approach to data management is reaching a breaking point. To successfully scale AI and deliver the right business context in real-time, locking all your data in a single data platform is not a viable solution. A data fabric delivers the contextual understanding to the models with a unified, intelligent, and scalable architecture that integrates all data, metadata and applications without moving the data.

In this session, we explore:

• Why a data fabric architecture is no longer optional.
• The core pillars of an effective fabric: unified security, governance, metadata management, automated data quality, and a seamless "data anywhere" experience.
• How a data fabric, built on a lakehouse architecture, significantly improves the speed of data access across all the different teams and domains in the organization.