March 2, 2026) - digna has published its latest platform update, continuing the development of its data quality and observability platform, and reinforcing its architectural focus on adaptive anomaly ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Backend development is mainly defined by the library used to develop it. Choosing modern, optimized Node.js libraries directly impacts scal ...

Process Diverse Data Types at Scale: Through the Unstructured partnership, organizations can automatically parse and transform documents, PDFs, images, and audio into high-quality embeddings at ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

Accessing PHI for development and testing is often blocked by stringent HIPAA compliance requirements. Learn how synthetic data helps engineers build tools to close care gaps and improve HEDIS scores.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...

Unlock the power of event-driven architecture with AWS's innovative pattern for Amazon RDS SQL Server. This approach decouples database events from processing, enhancing scalability and responsiveness ...