Scaling AI: How to Identify and Close the Context Gap

Our new research with IDC reveals a striking gap between organizations’ adoption of agentic AI and the readiness of their data foundation.

Whilst most organizations are at the pilot or production stage, few have context broadly available and many are still addressing the data quality and governance challenges that prevent trusted results.  

To explain what sits behind that gap, Dan Onions, Global SVP, Data & AI at Quantexa, is joined by Stewart Bond, Vice President, Data Intelligence and Integration Software at IDC, and Sapan Dogra, Managing Director at Accenture.

The discussion will explore where organizations are in their adoption of Agentic AI, how the challenges differ based on maturity level, and where they can close the gap. 

During this webinar, you’ll discover:

• Where organizations need to do more work to scale their AI initiatives.
• How the data and context challenges differ depending on AI maturity.
• Why building a connected view of customers, counterparties, and citizens is a top priority regardless of AI maturity.
• Where to begin building your context layer for trusted AI.