Why Vision Models Matter For Unstructured Enterprise Data

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.
Government TechnologyOpinion

Using Secure Small Language Models to Navigate Big Data Sets

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

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.

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 ...

From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
InfoWorld

Vector databases in LLMs and search

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...
Geeky Gadgets

Using Excel PowerPivot for data modeling in spreadsheets

If your are wondering how to handle large datasets and complex calculations in your spreadsheets. This is where MS Excel PowerPivot comes into play. PowerPivot is an advanced feature in Excel that ...
InfoWorld

The best ORMs for database-powered Python apps

Need help choosing the best Python ORM for your projects? Here's what you need to know about SQLAlchemy, PonyORM, Django ORM, Peewee, SQLObject, and Tortoise ORM. When you want to work with a ...