Data has been hailed as the new gold, oil, and soil, out of which invaluable products, services, and progress shall arise. That may be true, but the fact of the matter is that data is just symbols, mostly numbers: zeros and ones. This applies even to the most complex algorithms, and most of what we mean when we talk about AI is classification software that assigns zeros or ones to match different variables or predict patterns at scale. To be sure, in most relevant areas of life, we still need human expertise to translate data into insights, and the willingness to act on those insights is what ultimately makes someone data-driven. Data without insights is meaningless, and insights without action are pointless.