Forbes contributors publish independent expert analyses and insights. Erik Sherman reports on business, economics, finance, tech, and law. If you read popular business and economic media or venture ...

Artificial intelligence is powerful, but are businesses using it the wrong way? In this episode of Today in Tech, host Keith Shaw sits down with Alan Trefler, Founder and CEO of Pega, to discuss why ...

Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure. Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI ...

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.

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 ...

Another notable project is one where a robot gripper is able to prepare food independently. This robot uses AI to learn how to handle different food items, from slicing soft tomatoes to flipping ...

June 25 (Reuters) - More than 40% of agentic artificial intelligence projects will be canceled by the end of 2027 due to escalating costs and unclear business value, according to a report by Gartner.

Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain ...

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 ...

To make cloud or AI projects successful and complete them on time, you need a clear understanding of business goals and technology capabilities, and that understanding needs to be kept current and ...