Organizations are spending more on AI than ever. The outcomes rarely match the investment. The model is almost never the problem.
The gap between AI promise and AI performance almost always traces back to the data underneath it: its quality, coverage, and structure.
This session pairs Forrester's independent research on the B2B data landscape with ZoomInfo's operational proof points to show what AI-ready data requires and how practitioners can close that gap. On June 18 1 pm ET, join featured guest, Brett Kahnke, Principal Analyst, Revenue Operations and Marketing Operations at Forrester and Brandon Tucker, Chief Data Officer at ZoomInfo to learn:
What The Forrester Wave™: Marketing And Sales Data Providers For B2B, Q1 2026 reveals about where most organizations fall short
Why inconsistent AI outcomes are a data problem, not a model problem
What GTM AI means
How to assess whether your B2B data is AI-ready
What successful data strategies look like (grounded in real-life customer use cases)