Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

I’ve spent a lot of time inside enterprise AI deployments, and one thing that has become clear is that IT departments are leading the charge. Of course, enterprises are starting to consolidate ...

Connecting an LLM to your proprietary data via RAG is a massive liability; without document-level access controls, your AI is just one prompt away from exfiltrating your IP. In the enterprise SaaS ...

Abstract: MapReduce is a widely-used programming model in cloud environment for parallel processing large-scale data sets. The combination of the high-level language with a SQL-to-MapReduce translator ...

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

EvaDB enables software developers to build AI apps in a few lines of code. Its powerful SQL API simplifies AI app development for both structured and unstructured data. EvaDB's benefits include: 🔮 ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...