Webinar
AI, Forecasting and the New GTM Engine
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Tori Moss
Global Head of RevOps
Maggie Hott
GTM Leader
Wade Jastremski
Head of Revenue Management & Forecasting
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Pigment is a leading alternative for strategic planning
Anaplan
Pigment natively integrates with over 30 business applications (ERP, CRM, HRIS, BI solutions and more).
Native integrations are limited to fewer than 10 business applications using the Anaplan Data Orchestrator.
Pigment is a natively sparse engine and workspaces are not limited in capacity.
Standard Workspace size is limited, and additional products may be purchased to manage larger volumes of data up to a limit of 720GB.
Data is shared across business functions without needing to manage imports between models.
Data imports must be set up and maintained to copy data across multiple models.
Data updates happen automatically, without end users needing to trigger a data refresh for real-time planning and visibility of changes.
End users must refresh their pages to see the effect of data updates by other users while working in the same model.
Data inputs can be made by end users while imports and data recalculations are in progress.
End users are prevented from making changes to the model while data imports, exports and susbtantial recalculations are in progress.
About this event
AI is already reshaping how revenue teams forecast, operate, and make decisions. Yet many GTM organizations are still applying it in isolation - tools without a system, insights without alignment.
In this panel discussion, GTM and revenue leaders from OpenAI, Spotify, and Pigment unpack what’s actually changing inside modern GTM engines, and what revenue teams need to do differently to stay predictable, aligned, and competitive.
This conversation goes beyond theory to examine how AI is influencing real revenue decisions today, where established practices start to break, and what strong operational leadership looks like in an AI-driven environment.
You’ll hear about:
- How AI is changing forecasting - from static accuracy to real-time scenarios and decision velocity
- What effective GTM motions look like in AI-driven markets
- Why some traditional practices are becoming liabilities
- How leading teams apply AI today
- The operational and cultural shifts required to make AI work across revenue teams
If forecasting accuracy, GTM alignment, or AI-driven execution are on your 2026 agenda, this session will give you a sharper point of view.
