Technology – especially that of the ML/AI variety – is a force of automation. Business processes, categorizing documents, and evaluating credit applications are just a few tasks that we now hand off to machines.
But what happens when we automate the process of automation?
I explore this and more in my latest piece on O’Reilly Radar, “Automating the Automators: Shift Change in the Robot Factory”.
Some parts of
the ML model lifecycle
require a human touch. Others are glorified
for() loops – prime targets for automation. Companies’ adoption of automated machine learning (autoML) tools will impact the time and dollar cost of training ML models, as well as the jobs of those who perform this work.
You can read the full article on O’Reilly Radar: