Data Products: Mission critical for alignment and AI-readiness
For organizations moving from AI ambition to AI execution, the missing link is often how data is structured, governed, and delivered.
In this session, Jean-Georges “JGP” Perrin, author of Implementing Data Mesh and a leader behind the Open Data Contract Standard (ODCS), discussed data as a product and why formalizing expectations through data contracts is foundational for more reliable, efficient and scalable data management.
This conversation showed how data contracts and data products enable successful AI development and adoption.
Watch the full video here; or the highlights video below.
Among other topics, we covered:
Data contracts as the shared, single “source of truth” that enables early detection of issues and mitigates downstream disruptions
Why many AI initiatives fail and how data quality, well-maintained documentation, and clear ownership can significantly increase success rates
Data products and how they enable more scalable, resilient and trustworthy AI systems
Practical ways to start small with data contracts and evolve toward data products
Open standards and how they improve interoperability
Who will find this information particularly useful?
product managers, owners and leaders
data governance and quality managers
engineers, including data engineers
executives and leaders leading AI strategy and integration