With AI and big data reshaping how companies make decisions, what should businesses really trust—human judgment or the algorithms?

That’s a great question, and it’s one many businesses are wrestling with today.

The reality isn’t about choosing one over the other, but about finding the right balance where human judgment and algorithms work together.

Algorithms are great at spotting patterns in massive data sets, delivering speed, consistency, and automation for routine choices—things like pricing, logistics, and fraud detection.

People bring context, ethics, and adaptability. We interpret nuance, weigh reputational risks, and make sense of unexpected events—things algorithms can’t fully capture.

In my view, the best approach is to keep the human in the loop. I always recommend that businesses build decision-making systems where algorithms provide the best available evidence, and humans remain the sense-makers and ultimate decision owners. This creates a feedback loop—humans validate or override model outputs, and those insights can improve the models over time.