Context is the Next Data Platform

This article by Glean CEO Arvind Jain argues that context graphs represent a critical evolution in how enterprises enable AI agents to function effectively. Rather than attempting to capture the "why" behind work decisions, the approach focuses on capturing the "how"—the observable digital trail of actions, collaborations, and state changes across enterprise tools.

The piece provides a practical framework for understanding what data layers matter most for AI reasoning, moving beyond simple document indexing to process-level understanding. Building effective context graphs requires a sophisticated technical stack including connectors for activity observation, semantic understanding of tasks and projects, and enterprise memory systems that learn from agent execution over time. This is essential reading for PMs developing enterprise AI platforms, agentic automation systems, or knowledge management tools.