Viewpoint: Building a Navigable Data Foundation for Agentic AI
June 8, 2026
Organizations continue to accelerate investments in generative and agentic AI to automate workflows, improve productivity, and deliver new business value. Yet many initiatives remain stuck in pilot mode.
As AI systems become more autonomous, enterprises are discovering that traditional approaches to data architecture are often insufficient. It is no longer enough to simply centralize data or expose it to large language models (LLMs). Agentic systems require environments that are interpretable, navigable, and grounded in business meaning.
To better understand these emerging requirements, TDWI spoke with Rowan Bailey, senior product director at ZoomInfo, discussing the characteristics of data foundations that can successfully support agentic AI.
Download this special Viewpoint today to learn how you can evaluate and improve your data foundation to achieve greater business impact from AI.