Open Internet by MindsNet

AI Adoption Failure in Engineering

The majority of AI pilots in engineering fail, with 95% not achieving their intended goals. This issue arises from the difficulty in implementing AI effectively, leading to a significant gap between pilot projects and successful deployments. The problem is highlighted through data from DORA and DX research, emphasizing the need for better leadership and frameworks in AI-assisted engineering.

Computing & Technology, Computer Science, Machine Learning