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Amazon Intros Machine Learning as a ServiceAmazon Intros Machine Learning as a Service

Also launches tools to streamline the deployment of apps to Amazon's WorkSpaces virtual desktop service.

Mitch Wagner

April 10, 2015

4 Min Read
Amazon Intros Machine Learning as a Service

Amazon has launched a public cloud version of the same machine learning service it uses for its own retail store. Amazon Machine Learning requires no specialized skills on the part of the user, and allows businesses to quickly use historical data to build and deploy predictive models, the company says.

The models can be used for a variety of purposes, including detecting problematic transactions, preventing customer churn and improving customer support. Amazon Machine Learning is based on Amazon's own internal tools, generating more than 50 billion predictions weekly, Amazon says. (See Amazon Web Services Debuts Amazon Machine Learning.)

The new service integrates with Amazon Simple Storage Service (S3), Amazon Redshift and Amazon Relational Database Service to allow customers to use data they already store in the AWS Cloud, Amazon says.

Machine learning has previously been difficult, requiring specialized expertise, Andy Jassy, senior vice president, Amazon Web Services Inc. , said in an announcement Thursday that was streamed over the Internet (with some facepalm-inducing glitches -- see D'oh! Amazon Cloud Fails at Its Cloud Summit).

"It's hard work and it requires machine learning experts internally," Jassy said.

Amazon's own

Amazon Machine Learning automates the process, requiring no specialized skills from developers.

About the Author(s)

Mitch Wagner

Executive Editor, Light Reading

San Diego-based Mitch Wagner is many things. As well as being "our guy" on the West Coast (of the US, not Scotland, or anywhere else with indifferent meteorological conditions), he's a husband (to his wife), dissatisfied Democrat, American (so he could be President some day), nonobservant Jew, and science fiction fan. Not necessarily in that order.

He's also one half of a special duo, along with Minnie, who is the co-habitor of the West Coast Bureau and Light Reading's primary chewer of sticks, though she is not the only one on the team who regularly munches on bark.

Wagner, whose previous positions include Editor-in-Chief at Internet Evolution and Executive Editor at InformationWeek, will be responsible for tracking and reporting on developments in Silicon Valley and other US West Coast hotspots of communications technology innovation.

Beats: Software-defined networking (SDN), network functions virtualization (NFV), IP networking, and colored foods (such as 'green rice').

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