Karim Wahby·3d agoBuild Once, Use Everywhere: Fabric Data Agents as the Gate to Your DataEveryone talks about Lakehouses, Warehouses and Direct Lake. Here are six reasons why Data Agents deserve a seat at that table too.
Aarthy Ramachandran·4d agoWhy AI Data Agents Still Struggle With Enterprise Data96.7% on the leaderboard, 34.8% on the job
Ka Ling Wu·Nov 3The First Day of a Data Agent Shouldn’t Be BoilerplatePart 5 of 14 · The Complete Agent Stack · Ontology. How a setup agent writes the first draft of your ontology, so you can spend your time…
Ebru Yildirim Amura·Oct 29When a Data Agent Makes Its Own AssumptionsA data agent can give you the right answer to the wrong definition, right? The query runs. The numbers add up. The result looks reasonable…
Ebru Yildirim Amura·Oct 25Does a Data Agent Need the Whole Semantic Model?When we build a data agent, we spend time defining metrics, relationships, and business terms. We want the agent to have enough context to…
Ka Ling Wu·Oct 20Your Agent Shouldn’t Do Joins in Its HeadPart 3 of 14 · The Complete Agent Stack · Ontology. Why cross-source analysis belongs in SQL and not in a context window.A response icon1A response icon1
Ka Ling Wu·Oct 14Never Let the Agent Hold the KeysPart 2 of 14 · The Complete Agent Stack · Ontology. Why data permissions belong outside the agent, where no prompt can reach them.A response icon1A response icon1
Thibaut Gourdel·Oct 9What Is An AI Coworker for Data? How Conversational Analytics Goes Beyond Dashboards and SQLDashboards used to help us answer questions rooted in data. Now AI answers them for us. This shift is driving a new category: AI coworkers…A response icon1A response icon1
Ka Ling Wu·Oct 2Your Agent Doesn’t Know What ARR MeansPart 1 of 14 · The Complete Agent Stack · Ontology. Why every data agent that survives production starts with a data model.A response icon2A response icon2
InJIN System ArchitectbyJIN·Sep 30Ontology Is Not the Admission Ticket for Enterprise AIEnterprise AI
