InTeradata LabsbyNathan Green·Aug 3You Don’t Have to Start OverHow to make an existing data estate Agent-Ready using the AI-Native Data Product design standards.A response icon1A response icon1
InTeradata LabsbyDaniel Tehan·Jul 28Design Time Memory: Storing Decisions Inside Data ProductsHow agentic data products capture and query the design decisions, glossary terms and implementation knowledge behind them, so context…
InTeradata LabsbyNathan Green·Jun 17Governed by DesignThe Observability module closes the feedback loop. Together, the six modules of the AI Native Data Product architecture make governance an…
InTeradata LabsbyNathan Green·Jun 5More Than a MapDomain, Search, and Prediction are where an AI Native Data Product’s operational capability is built.A response icon1A response icon1
Sumit Ranjan Panda·May 29Seven Ingestion Patterns on Databricks, Ranked by When I Wish I’d Used ThemA field guide for the engineer who’s reached for a metadata table one too many times.
InTeradata LabsbyNathan Green·May 21Grounding Agents in your worldThe Semantic and Memory modules give AI agents an anchor in your enterprise, and a way to make that foundation better over time.
Hafiq Iqmal·Apr 8Soft Deletes Feel Safe Until You Join on a Table That Has ThemThe global scope protects the model you query. It does not protect the table you join.
Andrew Bush·Apr 7Practical AI: Why AI Requires Data Context: The Secret to Successful Data-Driven AI Outcomes“Over the last few years, we have focused on helping clients improve business decision-making and risk management through better data…
InArtificial Intelligence in Plain EnglishbyDr Swarnendu AI·Mar 27Nobody Has Shown You the Tiling Algebra Inside Flash Attention. Here It Is.
