While 72% of CEOs identify proprietary data as their primary source for unlocking the value of Generative AI, only 26% of chief data officers are confident their current data estate can support new AI-driven revenue streams. This “value gap” shows that organizations are accumulating massive volumes of unstructured data but lack the specialized infrastructure to make it agentic AI-ready. CDOs need to shift from basic data management to engineering a high-integrity, AI-first data architecture to close this gap.

To identify how leaders are overcoming these barriers, the IBM Institute for Business Value surveyed 1,700 CDOs and senior data leaders. The research examines how a group of leading organizations achieves higher ROI by pivoting away from data relocation costs and instead bringing AI models directly to their data. Download the full report to explore the framework that high-performing CDOs are using to transform their data strategy into a scalable engine for business value.

You will learn:

• How to optimize investment: Discover why leaders have tripled their data strategy budget allocation to 13% of total IT spend to prioritize AI-driven outcomes 
• The “Bring AI to Data” model: Learn why 81% of CDOs are pivoting their architecture to process data where it lives, reducing security risks and egress costs.
• Frameworks for governed scale:  Understand how to implement centralized marketplaces that balance agentic AI productivity with strict enterprise governance.
• Strategies for the talent shift: Explore how to navigate the surge in new GenAI roles by fostering a culture of data democratization and literacy.