INSIDE LINKEDIN'S DATA CONTEXT LAYER: CURATING TRUSTWORTHY CONTEXT FOR HUMANS AND AGENTS

Summary from the TLDR Data newsletter

LinkedIn built a shared layer that tells people and AI agents which datasets to trust, which filters and joins are required, and what each row means. It combines profiles that an LLM writes from schemas, query logs, and code with notes that teams write and review in Git like code. After LinkedIn's analytics agent was connected to it, the share of acceptable answers in one test rose from 25.9% to 79.5%, and median time to answer fell from 10.7 to 4.7 minutes.