Context is the next data platform—and why context graphs are key to understanding processes

What this post added

This post elaborates on Glean's context graph capabilities, framing it as the next data platform for agentic automation. It details the technical challenges and solutions in capturing 'how' work gets done by focusing on observability through connectors, understanding low-level activity data (discrete, timestamped actions), and deriving higher-level constructs (tasks, projects) from these signals. It emphasizes the algorithmic inference required due to privacy constraints and the integration of context graphs with indexes, connectors, and enterprise memory to form a complete agentic automation backbone.