Data Products as the Foundation for AI-Driven Value

Data Products as the Foundation for AI-Driven Value Passed

Thursday June 11, 2026 12:45 - 13:15 CEST Green Stage

Category: Artificial Intelligence, Data Strategy, EN, Breaktalk

AI only delivers real business value when it is built on reliable, well-structured data. Yet in most organizations, that foundation is missing: a consistent, reusable data layer – curated, documented, and ready for consumption.

Data Products solve this problem by treating data as manageable, self-contained assets with clear ownership, defined quality standards, and explicit interfaces. Quest’s Automated Data Product Factory (ADPF) provides the technical and organizational backbone to build and operate Data Products across existing data landscapes – without big-bang transformations, but with measurable, incremental progress.

In this session, you will learn how ADPF enables the creation and governance of Data Products across heterogeneous environments, how data catalog, data quality, and lineage work together as an integrated layer, and what concrete steps organizations can take to turn raw data into trusted, AI-ready data products that drive real business outcomes.

Lecturers

Andreas Neuhauser LecturerMain sponsor

Principal Sales Engineer
Quest

Andreas Neuhauser is a Principal Sales Engineer at Quest Software, focused on the Quest Trusted Data Management Platform. He helps customers design, govern, and operationalize AI-ready data products by integrating data modeling, metadata management, data quality, lineage, and governance — turning complex enterprise data landscapes into reliable, consumable assets for analytics and AI.

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