AI in the Enterprise, Why Pilots Fail and What Actually Scales скачать в хорошем качестве

AI in the Enterprise, Why Pilots Fail and What Actually Scales

The real problem AI is exposing Most companies are not failing at AI because of model quality. They are failing because they have no clear destination, no focus, and no operating model designed for continuous learning systems. The result is lots of pilots, little adoption, and unclear value. The approach that actually works Steve Wunker explains why leaders need to start by redefining the value proposition, then redesign the workflows and roles around it. IT and the business have to co own outcomes, and teams have to plan for ongoing evaluation and maintenance because AI does not stay still. What you will get from this episode • A clear way to choose a few big bets instead of drowning in scattered experiments • Practical examples from Travelers, P and G, and HelloFresh that show how AI changes the org, not just the tech stack • A simple framework to think about metrics, ownership, and long term AI operations • A cautionary lesson from the dotcom era, avoid swinging from timid pilots to extreme mandates Like, subscribe, and comment with the biggest blocker you are seeing inside your org, I read them and I use them to shape future episodes. #data #analytics #datascience #leadership #ai