There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

People are getting excessive mental health advice from generative AI. This is unsolicited advice. Here's the backstory and what to do about it. An AI Insider scoop.

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

Location can make or break a digital experience. When a visitor lands on your site, you have a split second to greet them with the right language, currency, shipping offer, […] ...

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

National Invasive Species Awareness Week 2026 occurs between February 23 and February 27, 2026. Invasive species are ...

Carey Business School experts Ritu Agarwal and Rick Smith share insights ahead of the latest installment of the Hopkins Forum, a conversation about AI and labor on Feb. 25 ...

You can even self-host it!

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

The sweetest monikers for your tiny bestie.

Massive compute capabilities enable a whole new way of manipulating and using data, and a potential bonanza for AI data centers.

Learn how to secure Model Context Protocol (MCP) deployments with post-quantum cryptography and agile policy enforcement for LLM tools.