Before I read this I said “it’s because they have no idea WTF AI actually is” and then it said
The most common cause of failure is that the people running the projects have no idea what “AI” even is or does. “In some cases, leaders understand AI only as a buzzword and do not realize that simpler and cheaper solutions are available.”
Called it! 🤣
AI is some dark magic that can peer into the future to some of these clowns (who I have unfortunately interacted with)
Most of the time, technology just makes things happen faster, or at a larger scale.
With “AI” we’re getting both larger and faster at the same time as businesses try and cash in as quickly as possible once they find out that their “LLM” has been trained on data that means it is in permanent idiot mode, can be unlocked with a few words, hallucinates every second response (oh sorry you’re correct raspberry only has 2 R’s in it), or keeps generating completely racist images.
I have no idea if these numbers are accurate, but it’s too low. Needs to be 100%
There’s two ways to make that number be what it is. The first is to remember that failure is different from poor performance. Maybe something is working kind of, so then the boss will say hey it’s not a failure whatever, even though it’s worse than what they had before or other options that they could have selected. The second way to skew the data is to define AI in a way that makes things that you already did count. And maybe that’s legitimate, because what exactly is AI? If you’re the project manager, maybe you get to choose the definition, in which case you’re probably going to do something that makes your successful project look magical even if it’s something that’s been done for decades.
80% failed, 20% not failed, yet!
I think more than 40% of normal IT projects fail
What rate did crypto projects fail.
Unknown.
Wasn’t this the rough number for any large IT project, e.g. ERP, CRM, Salesforce, Data Center, etc…?
