Webinar

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Your AI models are only as good as what you feed them. Static exports and scheduled pulls degrade every output downstream, and most data teams absorb that cost without a clear path to fix it.

MCP changes the input layer. Instead of pulling yesterday's data, your models get direct access to ZoomInfo's intent signals, technographics, and firmographics as live inputs, the way infrastructure teams have always wanted to work with this data.

Join William Talleur, Head of GTM Engineering & AI at ZoomInfo, on June 23 at 1:00 PM ET for a live technical build session. Expect real code, real data, and examples of real output.

Attendees will leave with a clear understanding of:

  • How live data inputs through MCP change the quality of every AI output downstream

  • What MCP signals about ZoomInfo's direction as a data infrastructure platform

  • Agentic use-cases powered by ZoomInfo’s MCP

  • How to evaluate building on MCP versus using ZoomInfo's direct access layer

  • Where ZoomInfo fits in an AI-native technical stack