People have been seeking out health information online since the dawn of the internet. And now, tens of millions of people are turning to artificial intelligence for questions they once asked “Dr. Google.

AI is changing the business world, and the project management industry is no different, with platforms adding new features all the time.

The enterprises that succeed with their AI projects won't necessarily use a smarter model, but they will have a more reliable infrastructure.

YouTuber Bilawal Sidhu interviewed Jack Parker-Holder and Diego Rivas from the team behind Project Genie at Google DeepMind, and noted in some live examples how there were occasional bugs from time to time, and the restriction to just 60 seconds of walkthrough time is a major limitation at the moment. That said, there's plenty to be excited about here. The team hasn't yet defined exactly what ...

President Trump recently scrapped an executive order that would have created a federal review process for new AI models before their release. The executive order drew attention because the administration had previously taken a hands-off approach to AI regulation.

More than 80% of corporate AI projects never make it out of the pilot phase or fail to deliver measurable value once deployed, according to RAND research. This failure rate is two times higher than that of IT projects that don't involve AI. As the RAND ...

Interviews:As AWS pushes partners to scale AI, enterprises must now turn pilots into production through data readiness, governance, cost discipline, and outcome-led execution.

Enterprise-wide integration is being leveraged to extend today’s process automations into tomorrow’s agentic workflows. In partnership withCeligo The transformational potential of AI is already well established. Enterprise use cases are building ...

Without strong leadership and process discipline, “you’re just doing science experiments, and you’re not going to go very far,” IBM’s Neil Dhar said.