80% of AI Projects Fail? The post suggests that this is an #OMG 😱 moment: Almost all AI projects fail! 😱 #AIpostmortem 😱 The way this is framed here in this LinkedIn post, I have a problem with it. It seems to be directed at decision-makers for whom “failure” is something to be avoided?

What does failure mean in this context? This is a new and rapidly developing technology, whose successful applications are only clear within narrow limits. Therefore, it’s good if there are projects, ideally set up in an exploratory #SafeToFail manner. “Failure” is then part of the process, and can create valuable insight!

This doesn’t mean that a project shouldn’t start with all that is already known - for instance, avoiding the inflated hype balloons of vendors and consultants. Instead, projects should be designed as #SafeToFail and begin realistically, informed, brave, and with a keen mind. Such “failure” is then a step toward success.

🔍🤔 #AI #TechInnovation #ProjectManagement #FailureIsPartOfSuccess

The image shows a diverse group of people standing in front of a wall covered with AI-related visuals like gears, charts, and neural networks inside silhouetted heads. The headline reads, “Almost all AI products fail: An omg moment or a step to forward insight?”, with a lot of typos typical for AI generated text. The group appears to be analyzing or contemplating the challenges of AI development, with a workshop-like atmosphere.