Hosted on MSN
MIT explains why most AI projects are failing
Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...
Only 5% of AI projects deliver. It comes down to the ability to customize. With partnerships in place, AI success odds double. Ask the right questions before deciding between building or buying. There ...
Forbes contributors publish independent expert analyses and insights. Aleksandra Bal covers indirect tax and technology developments. The promise of AI in the world of tax is compelling: streamlined ...
Just hours after Meta's deal, Google paused multiple Scale AI projects. OpenAI and xAI are pausing projects, too, and one investor said they are selling their stake. Scale says it's still independent ...
Opinion
The Register on MSNOpinion
Ex-Googler Schmidt warns US: Try an AI 'Manhattan Project' and get MAIM'd
That's Mutual Assured AI Malfunction in the race for superintelligence ANALYSIS Former Google chief Eric Schmidt says the US should refrain from pursuing a latter-day "Manhattan Project" to gain AI ...
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. More than 40% of ...
When it comes to evaluating the return on investment for cloud-based artificial intelligence projects, the discussion tends to swing between two extreme viewpoints—either enterprises are raking in big ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results