Jean-Georges Perrin

As data demands grow, decentralising platforms offers a powerful path to agility, scalability, and innovation. This session explores the benefits and challenges of decentralised architectures, with a spotlight on a real-world case study showcasing the shift to a self-serve, cloud-agnostic model. Learn how leading enterprises are:

• Implementing decentralised data platforms to empower teams and reduce bottlenecks.
• Leveraging self-serve models to accelerate access and improve operational efficiency.
• Integrating cloud-agnostic solutions to future-proof enterprise data strategies.

As AI becomes embedded in business decisions, many organisations struggle to explain, govern, and stand behind the outcomes. The issue is rarely the model itself, but fragmented data, unclear ownership, and hidden quality risks.

In this session, Jean-Georges “jgp” Perrin outlines practical frameworks for turning fragmented data into governed data products that give organisations a lasting advantage as AI scales. Using open standards such as ODCS and ODPS, data products define ownership, quality, and usage boundaries early — making AI governable, auditable, and defensible without slowing innovation or forcing centralised rebuilds. You’ll learn:

• How data products make AI more accurate, explainable, and reusable.
• Why AI risk is now a data governance problem, not a model problem.
• How data products create clear accountability and auditability for AI decisions.
• What boards should demand now to ensure AI remains a strategic asset, not a liability.

You don’t govern AI. You govern the data products behind it.