Published On: Thu, Jul 6th, 2017

H2O.ai’s Driverless AI automates appurtenance training for businesses


Driverless AI is a latest product from H2O.ai directed during obscure a separator to creation information scholarship work in a corporate context. The apparatus assists non-technical employees with scheming data, calibrating parameters and last a optimal algorithms for rebellious specific business problems with appurtenance learning.

At a investigate level, appurtenance training problems are formidable and indeterminate — mixing GANs and bolster training in a never before seen use box takes finesse. But a existence is that a lot of corporates currently use appurtenance training for comparatively predicted problems — evaluating default rates with a support matrix machine, for example.

But even these comparatively candid problems are tough for non-technical employees to hang their heads around. Companies are increasingly operative information scholarship into non-traditional sales and HR processes, attempting to sight their approach to dear innovation.

All of H2O.ai’s products assistance to make AI some-more accessible, though Driverless AI takes things a step serve by physically automating many of a tough decisions that need to be done when scheming a model. Driverless AI automates underline engineering, a routine by that pivotal variables are comparison to build a model.

H2O built Driverless AI with renouned use cases built-in, though it can’t solve each appurtenance training problem. Ideally it can find and balance adequate customary models to automate during slightest partial of a prolonged tail.

The association alluded to today’s recover behind in Jan when it launched Deep Water, a height permitting a business to take advantage of low training and GPUs.

We’re still in a really early days of appurtenance training automation. Google CEO Sundar Pichai generated a lot of hum during this year’s I/O discussion when he supposing sum on a company’s efforts to emanate an AI apparatus that could automatically name a best indication and characteristics to solve a appurtenance training problem with trial, blunder and a ton of compute.

Driverless AI is an early step in a tour of democratizing and abstracting AI for non-technical users. You can download a apparatus and start experimenting here. 

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