Why MongoDB thinks better retrieval — not bigger models — is the key to trustworthy enterprise AI

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...

MongoDB combines database and embedding models for simplified AI development

MongoDB said additional partners and offerings are expected to be added to the startup program over time.

Database maker ClickHouse raises $400M, acquires AI observability startup Langfuse

Open-source database maker ClickHouse Inc. today announced that it has closed a $400 million late-stage funding round at a ...
Tech Xplore on MSN

'Rosetta stone' for database inputs reveals serious security issue

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...
Analytics Insight

Best 5 Chat with SQL Databases Using AI Tools

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

Why AI Threat Models In Finance Must Follow The Data, Not The Code

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Building Smarter AI Agents: How MCP Servers Connect Local Databases

How do MCP servers connect AI agents to local databases? Learn how the Model Context Protocol enables secure, standardized AI ...
Wired

A New Kind of AI Model Lets Data Owners Take Control

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Yale Environment 360

Data ‘leaks’ can sink machine learning models

When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their ...