Data products – because agents need context

No matter how smart an agent is, it can't make the right decision, or take the right action if it is lacking context. In other words, AI is only as effective as the data products it consumes. Yet fragmented governance, limited context and inconsistent quality often slow teams down, making it difficult to demonstrate real business impact.

Join us for a live session featuring Barb Wixom, Principal Research Scientist at MIT Sloan’s Center for Information Systems Research (CISR), and Stijn Christiaens, Co-founder and Chief Data Citizen at Collibra, where they will share why a data products approach is key to turning raw data into trusted, reusable assets that support reliable AI, drive measurable ROI and enable better business decisions.

You’ll learn:

• The hidden reasons AI projects fail and how trusted data products can fix them
• How to turn fragmented, complex data into assets your teams and AI agents can use with confidence
• Proven approaches to scale data governance and show clear ROI from your data and AI investments

Register now to secure your spot. If you can’t attend live, register anyway and we’ll send the recording.