LECTURE: BUILDING DATA AS PRODUCT IN THE AGE OF ARTIFICIAL INTELLIGENCE

As artificial intelligence reshapes the digital enterprise, the foundation for trustworthy, scalable, and explainable AI begins not with models, but with data. Building Data as a Product (DaaP) in the age of AI represents a paradigm shift from treating data as an exhaust of systems to managing it as a discoverable, governed, and value-driven product. This talk explores how organizations can architect data platforms around product principles like ownership, usability, quality, and lifecycle management to accelerate AI adoption responsibly and efficiently.

Topics of discussion will include, yet will not be limited to:

• Evolution of Data and mental models and building the mental model for Data as Product
• Overview of six pillars of data as product
• Demo of Unity Catalog, vector search, fine grain access control and AI based SQL Functions

Junaith Haja, Senior Data Engineer, AMAZON