Truly great data and AI initiatives that have an impact are the result of constant experimentation and refinement. It’s not enough to create, launch and test a handful of models – you have to be able to do it at scale. That means dozens or even hundreds of models, not a handful. This gives teams the opportunity to observe different model strategies in action, discard those that aren’t cutting it, refine those that show promise, and operationalize those that are clear winners.