Organizations demand evidence before making a change, but rarely apply the same scrutiny to doing nothing. What if our efforts to reduce risk are actually limiting innovation? Explore the hidden costs of inaction and why better decisions require evaluating the status quo, too.
Data quality is a property of the data. Evidence fitness is a relationship between the data, the question, and the cost of being wrong. Stewardship has mastered the first. As AI systems move from displaying data to recommending action, organizations need the second.
AI did not end the data literacy crisis. It changed it. As machines move from providing information to interpreting it and recommending what to do, the scarce skill is becoming judgment: knowing what to trust, what to question, and what decisions are still ours to make.
Become a paid subscriber to get full access and unlock all paid content.
See subscription options