AutoML is democratizing and improving AI ZDNet

There's an irony around Artificial Intelligence (AI) work: it involves a lot of manual, trial and error effort to build predictive models with the highest accuracy. With a seemingly continuous emergence of machine learning and deep learning frameworks, and updates to them, as well as changes to tooling platforms, it's no wonder that so much AI work is so ad hoc. But still, why would a technology that's all about automation involve so much bespoke effort? The problem with all the manual work is twofold: first, it makes it almost impossible for people without training in data science to do AI work; and second, people with data science backgrounds themselves face a very inefficient workflow. That logjam is starting to clear now, though, with the emergence of automated machine learning (AutoML).