Fern Halper, Ph.D.

VP and Sr. Research Director

TDWI

Data foundations are one cornerstone of AI success. At TDWI, our research consistently shows that the top data management priority for organizations today is preparing for AI—followed closely by building scalable, modern architectures. Enterprises recognize that AI initiatives can only progress as far as the underlying data foundation allows. This is true whether your company is deploying traditional AI, generative AI, or agentic AI. Without trusted, well-managed, and accessible data, even the most advanced AI strategies stall before delivering real business value.

In this TDWI Market Research Briefing, Fern Halper, Ph.D., VP of Research, will share insights from TDWI’s latest research on the state of data foundations for AI readiness. This session will examine where organizations are today, what’s holding them back, and what it takes to move forward.

Topics include:

• Where organizations stand in their AI readiness—and how it correlates with data readiness
• The biggest challenges in building and scaling data foundations for AI
• Gaps in architecture, governance, and data management practices
• A blueprint for success