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
    0·
    2 days ago

    I wanna point out three things:

    1. How can you tell someone is wrong when you have no idea?
    2. I think you missed the point, I said artificial intelligence, not intelligence as a whole.
    3. Yes, playing an instrument in a way that makes sense requires certain degree of intelligence, the music box inherently is not intelligent, but intelligence was required to build it.
    • leisesprecher@feddit.org
      0·
      2 days ago

      1. That’s a weak argument without substance. “No, you!” is not exactly a good counter.

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

      3. That’s a whole different discussion. That intelligence is required to build something has nothing to do with whether the product is intelligent. The fact that you manage to mangle that up so bad is almost worrying.