[rezlov]

> On a recent morning, the results for a 73-year-old lung cancer patient were underwhelming: Watson recommended a chemotherapy regimen the oncologists had already flagged.

> He said later that the background information Watson provided, including medical journal articles, was helpful, giving him more confidence that using a specific chemotherapy was a sound idea. But the system did not directly help him make that decision, nor did it tell him anything he didn’t already know.

This type of thinking is reason true ML adoption is still sparse. Analytics should be viewed as a supplement to decision making, not a replacement.

Manipulative marketing tactics by IBM and others are largely to blame. I'm confident that over time, as the general population becomes better educated on the topic, the perspective will shift.