Council Post: Simple Science: Why The Retail Industry Needs To Update Its Interpretation Of AI Complexity

"Make everything as simple as possible, but not simpler." This quote often attributed to Albert Einstein surmises a conflict that business leaders are facing with the adoption of artificial intelligence (AI) and machine learning (ML). When it comes to automated forecasting and decision-making, many are now embracing the idea of these advanced predictive solutions--but only until they begin to delve beyond the norms and already-familiar data. In this respect, just like the scientific community, business leaders crave "simplicity." However, they often have different definitions of the word, focusing more on how data can affirm their own gut feelings, rather than how deeper insight and newly proved theories can override that personal experience.