When companies focus on practical, user-centered implementation, AI can stop being an experiment and start having a real impact.

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

The development process improves because it is informed by real outcomes. AI learns from what happened, and the team adjusts ...

Discover top generative AI project ideas for college students to build real-world skills, strengthen your resume, and boost ...

What if the next big leap in artificial intelligence was just a GitHub repository away? With AI evolving at breakneck speed, developers and innovators are constantly pushing boundaries, crafting tools ...

Gen AI success is about knowing which approach to use. Start with the simplest tool that solves your problem. Sometimes you'll need a prompt, and other times an agent workflow. "You're probably making ...

Chin's observation that the easy use cases are running out deserves attention. The first wave of generative AI adoption rewarded speed over architecture. The next wave will reward organizations that ...

Developer tooling provider Anaconda Inc. today announced that it has closed a Series C funding round worth more than $150 million. Insight Partners led the investment with participation from Mubadala ...