Most teams are racing to launch AI agents, copilots, and “smart” GTM plays, yet still struggle to see real impact on pipeline, win rates, or productivity. The gap isn’t ideas or tools, it lies in fragmented data, missing context, and signals that never make it into the hands of sellers or AI systems in a usable way. Join James Roth, CRO at ZoomInfo, to explore how to make AI actually work in your go-to-market. We’ll focus on what it takes to make your GTM data AI-ready: bringing together data from your existing systems, cleaning up accounts and contacts, and layering in buying signals and insights from customer conversations so you can power orchestrated plays that scale and deliver measurable results. We'll unpack findings from ZoomInfo's study of 35,000 companies and how top performers leverage foundational data, entity matching, and context creation to achieve meaningful results.