There’s a stark difference in success rates between companies that purchase AI tools from vendors and those that build them internally.

Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L.

The research—based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments—paints a clear divide between success stories and stalled projects.

  • MrLLM@ani.socialEnglish
    1·
    1 day ago
    1. That’s a weak argument without substance. “No, you!” is not exactly a good counter.

    Wdym? Can you elaborate on that? That’s literally your own argument, you just said And you’d argue wrong here, that is simply not the definition of intelligence., then you didn’t explain why nor give a definition that matches your vision of artificial intelligence, you’re just saying someone is wrong without founding your reasoning.

    1. Yes, that’s exactly what I’m talking about, which refutes your argument in 1).

    Again, how that refutes my own argument? Care to elaborate?

    1. That’s a whole different discussion. That intelligence is required to build something has nothing to do with whether the product is intelligent.

    Yes, it is, but you kept using it to “prove” your point.

    The fact that you manage to mangle that up so bad is almost worrying.

    Can you point out what is and why’s bad or worrying? Like I think we’re not in the same page