Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

Just like algae blooms in the ocean and pollen in the spring, there’s been an explosion in the past year or two of new software, related tools and lingo from the IT and mainstream/consumer side. Some ...

Plotly announces major update to AI-native data analytics platform Plotly Studio, turning data into production-ready ...

Makeblock mBot2 Rover Kit features anodized aluminum parts, for STEM and more realistic engineering practice. Ages 8+ and 12+ tiers ...

The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

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