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.

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 ...

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 ...

A new report from Gartner has stated that more than 40% of agentic AI projects will be cancelled by the end of 2027 due to growing costs, elusive business value and insufficient security. The survey ...

Effectively managing complex projects from start to finish requires strategic thinking, resourcefulness, clarity of purpose, organizational skills, and fantastic people management. Generative AI tools ...

You may, in your travels around the AI universe, have come across the term 'vibe coding' and wondered what it was. The term was originally coined by OpenAI co-founder Andrej Karpathy in a February ...

A report published by MIT's Decentralized AI project found that 95% of the generative AI programs at U.S. companies aren't working. Summarizing 150 interviews with managers, a survey of 350 employees ...