SCSriharsha Chintalapaniinblog.getcollate.io·Jun 10 · 6 min readAI for data needs a context layer. See how OpenAI and Anthropic do it.Anthropic just published a piece on how they enable self-service data analytics with Claude inside their own company. It is worth reading in full, and it maps exactly to what we have been saying. The 21R
SCSriharsha Chintalapaniinblog.getcollate.io·Apr 30 · 5 min readGround Your AI in Standards-Based Knowledge with Ontology ExplorerAs organizations rely more heavily on AI to answer business questions, the demand for accurate, consistent outputs has never been higher. Other platforms today address this through context engineering00
SCSriharsha Chintalapaniinblog.getcollate.io·Apr 30 · 5 min readBuild AI You Can Trust with Knowledge GraphAI agents are only as reliable as the semantic foundation they reason from. If a business concept like "Revenue" is ambiguous in your semantic context graph, disconnected from all the appropriate tabl00
SCSriharsha Chintalapaniinblog.getcollate.io·Feb 24 · 8 min readBuild AI Agents That Understand Your Data and BusinessIf you’re not using AI agents to manage your data, then you’re spending way too much time on data management tasks. Think about it: is it a good use of your time spending 10-15 hours (or more) per wee00
SCSriharsha Chintalapaniinblog.getcollate.io·Feb 5 · 5 min readWhat 300,000 Unowned Datasets Taught Us About SemanticsAt Uber, we had over 300,000 datasets, and most of them were unowned. Engineers couldn't find the data they needed, and when they did, they had no way to know if they could trust it. Who owned this table? Where did the data come from? What did the nu...00
