Artificial intelligence is only as trustworthy as the foundation it’s built on—and that foundation is your data. If the “truth” behind your training sets is incomplete, biased, or outdated, the smartest algorithm will simply amplify the problem.
Too often, organizations rush to deploy AI hoping for instant efficiency, only to discover that they’ve automated their blind spots. The result isn’t just bad predictions—it’s a slow erosion of trust between leadership, frontline teams, and the customers they serve.
In my latest Forbes piece, I unpack why truthful data is the single most important ingredient for any AI initiative. From service operations to customer support, the lesson is clear: before you trust AI with high-stakes decisions, you must first teach it the real story of your business.
Read the full article to learn how to make AI a competitive advantage—by grounding it in facts from the start.
