Are your BI systems ready to support modern operations? Use this advice to prepare to handle large-scale workloads.

If AI is the vehicle, then a “semantic highway” determines how far and how fast it can go. It isn’t the model that makes the biggest difference.

As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

Outshift by Cisco's Vijoy Pandey argues AI agents can connect but can't yet think together — and is building the protocols to ...

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which means you do not need to add additional tools to your LLM environment.

I’ve been working with Microsoft BI tools for 28 years now and for all that time Microsoft has been consistent in its belief ...

LLM-as-a-judge is exactly what it sounds like: using one language model to evaluate the outputs of another. Your first ...

MCP registries are emerging as the new integration catalog for AI agents. Building one for the enterprise requires semantic discovery, strong governance, and developer-friendly controls.

The new resource clarifies why PDF is a superior source for AI data mining due to its high information density and rich ...

What Google's TurboQuant can and can't do for AI's spiraling cost ...