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.

  • wheezy@lemmy.ml
    6·
    2 days ago

    Not sure why you’re getting downvoted. Well, I guess I do. AI marketing has ruined the meaning of the word to the extent that an if statement is “AI”.

    • fmstrat@lemmy.nowsci.comEnglish
      11·
      1 day ago

      Because they are wrong. Airplane Autopilot is not “one model”, it’s a complex set of systems that take actions based on a trained model. The training of that model used standard ML practices. Sure, it’s a base algorithm, but it follows the same principles. That’s textbook AI.

      No one would have debated this pre-LLM. That being said, if I was in the industry, I’d be calling it an algorithm instead of AI, because those out of the know, well, won’t get it.