Funding for crypto projects focused on artificial intelligence hit a new high this year, with startups pulling in $516 ...

A look past the high AI failure rate shown by a new study highlights how successful businesses are following the right strategies to overcome AI barriers.

AI initiatives fail for a handful of well-known reasons. Developers, data scientists, and technology leaders hold the keys to keeping them on track.

Let's let teachers lead the way. Let's build systems where technology serves learning, not the other way around. And let's remember that in an age of artificial intelligence, our greatest strength may ...

Successful AI efforts "focus on narrow but high-value use cases, integrate deeply into workflows, and scale through continuous learning rather than broad feature sets," according to the study's ...

Though agentic AI offers a lot of promise, poor performance, high costs, and unclear value could lead to projects being canceled without showing ROI, according to Gartner Research.

AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data strategies and AI and ML strategies are intertwined.

The combination of open-source software with artificial intelligence is opening up new possibilities for custom software ...

Meta Platforms is still investing heavily in AI infrastructure. However, there appears to be a strategic pivot underway. Several reports have broken about Meta pausing AI hiring spending. This caused ...

Upwork reports that AI generalists, blending technical and human skills, are vital for modern businesses as AI reshapes ...

Kathleen Walch, director, AI engagement and community, Project Management Institute, sees a much higher failure rate when companies roll out AI projects compared to typical tech upgrades.

The role of project managers is undergoing a massive transformation. The days of manually tracking tasks and updating spreadsheets are coming to an end. The hard truth? AI will replace project ...