As AI becomes more accessible, the real differentiator is no longer the model, but the quality, governance, and usability of the data behind it. Yet many organisations still struggle to build data products that consistently deliver value, often focusing on outputs rather than solving real customer problems.
In this hands-on workshop, Rohit Shankaramani works through how to design data products that are trusted, usable, and grounded in real demand. Participants will explore their own use cases, challenge existing assumptions around data quality and ownership, and work through how to align products more closely with customer needs and business outcomes.
Assessing your current data products to identify gaps in quality, ownership, and usability
Redefining data products around real customer problems and measurable outcomes
Applying practical approaches to embed governance, security, and accountability into data product design