Google Cloud launches new tools to make AI more accessible to enterprises

Google was the first cloud provider out of the blocks when it came to providing pre-packaged AI services for organisations – and now the company is furthering that goal with two new launches.

The launch of AI Hub and Kubeflow Pipelines aim to further businesses’ grasp of AI and machine learning (ML) technologies, and put them into easy-to-consume packages.

“Our goal is to put AI in reach of all businesses. But doing that means lowering the barriers to entry,” wrote Hussein Mehanna, engineering director of Google Cloud’s machine learning platform in a blog post. “That’s why we build all our AI offerings with three ideas in mind: make them simple, so more enterprises can adopt them, make them useful to the widest range of organisations, and make them fast, so businesses can iterate and succeed more quickly.”

AI Hub is a one-stop shop for plug and play machine learning content with two uses for enterprises; firstly making resources developed by Google Cloud AI and Google’s research team available, and secondly providing a secure hub where organisations can upload and share ML resources internally.

Kubeflow Pipelines, meanwhile, is an extension of Google’s open source Kubeflow project which packages ML code as an app, meaning organisations can compose, deploy and manage reusable machine learning workflows.

Google rolled out a series of customers who had utilised AI and ML technologies to impressive effect, including media firm Meredith, Emory University, and GPS fleet tracking and management provider Geotab. The latter’s prognosis was particularly interesting, offering not just real-time data but predictions into hazardous driving areas.

Another satisfied customer is the New York Times. The publisher, which last year moved its gaming and crossword platform across to Google App Engine from Amazon Web Services (AWS), is using cloud storage and Google’s Cloud Vision API to digitise its more than 100 year old archive. The latter’s ML capabilities will allow greater identification and classification of photos.

You can find out more about AI Hub and Kubeflow Pipelines here.

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