Actionable AI For Any Organization: Are You A Passenger, Driver Or Mechanic?

With all the hype over artificial intelligence (AI) and machine learning (ML) these days, understanding how your company can really make use of them can be a bewildering experience. Hype cycles are always tough, but for AI and ML, they can be particularly alienating. Press and analyst coverage tends to focus on the technical minutiae, making it difficult to see the relevance to your organization or to see your organization as an eligible candidate to adopt and apply AI. While looking at AI from the perspective of a data scientist is no doubt interesting, for many organizations, doing so is simply getting too far into the weeds. Yes, you can learn about frameworks, algorithms and hyperparameters, but that's a bit like studying combustion engines in pursuit of learning how to drive.