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? A few companies, like DataRobot, specialize in it. Other AI startups, like Dataiku, H20, and RapidMiner, and established enterprise software companies like Tibco, have broad AI platforms that feature AutoML capabilities too.

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