We hired a couple of data scientists to solve hard problems like building ML models,” he said, “but they’ve mostly only had time to answer business questions like analysts.”
As someone else was quick to point out, his premise was wrong: Helping people use data effectively is the hard problem. Unlike purely technical work, or the work of moving data around the lower levels of the data stack, solving business problems requires that data cross the chasm from computer to person (View Highlight)
