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 ...

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 ...

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 ...
Forbes

How Will Large Language Models And Generative AI Impact Data Engineering?

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data ...
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 ...