Webinar Details
Throughout this session, we’ll explore why go-to-market data lives in disconnected systems (CRM, call recordings, email, notes), why analytics layers can’t fix that, and why AI can’t reason without a unified view of relationships, history, and decision traces.
You’ll learn how a Context Graph (what we call the Common Customer Data Model or CCDM) connects accounts, contacts, opportunities, activities, transcripts, and AI reasoning into a single system of record. When context is modeled correctly, it take the next evolutionary step and explains why things are happening and what to do next.
This event is for GTM, RevOps, Sales, and Product leaders who want AI that actually drives decisions, not just dashboards.
Agenda
- Why AI models are bottlenecked by data models
- What a Context Graph is and why it’s the missing layer in enterprise AI
- How structured context turns AI from a chatbot into a decision engine
- The ROI when AI writes back to the systems your business runs on








