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AWS offers machine-learning service to make sense of big data

Sharon Gaudin | April 13, 2015
Enterprises will soon be able to do the kind of big data analysis that allows Amazon to recommend books, video games and toasters to its customers.

Enterprises will soon be able to do the kind of big data analysis that enables Amazon to recommend books, video games and toasters to its customers.

Amazon Web Services (AWS) announced Thursday at its cloud summit in San Francisco that it's rolling out Amazon Machine Learning, a fully managed, cloud-based service designed to pull useful information from mountains of data.

The problem with big data is that it often simply sits there unused because it's far too complicated and energy- and time-intensive to find the critical information hidden inside.

AWS, following in the footsteps of cloud competitor Microsoft wants its new cloud service to help with that. Microsoft added a machine learning service to Azure in February.

"Amazon has a long legacy in machine learning," said Jeff Bilger, a senior manager with Amazon Machine Learning. "It powers the product recommendations customers receive on Amazon.com. It is what makes Amazon Echo able to respond to your voice, and it is what allows us to unload an entire truck full of products and make them available for purchase in as little as 30 minutes."

Machine learning, which is related to artificial intelligence, involves building algorithms that can learn from data.

Generally, machine learning is thought of as something used in robotics, to teach robot to navigate around a building or use tools. But companies like Ford and medical research institutes are increasingly using it to cull through big data to find patterns and connections not easily -- or even possible -- to suss out by humans.

Just last month, for instance, researchers at Carnegie Mellon University and the University of Pittsburgh announced that they are using machine learning to dig through prescription records, genome profiles, insurance records, diagnostic imaging and health records to help create treatment plans for people who not only have the same type of disease but share other similarities, like family history, active lifestyles and age groups.

One kind of cancer drug might work better on one person than another. The combination of big data and the artificial intelligence that can cull through it, allows scientists to develop designer treatments.

Now AWS's Bilger wants to bring that kind of big data analysis to companies that might need to figure out what color sneakers sell better in New England, what kind of business process is the most efficient or what kind of social outreach creates the most loyal customers.

"Amazon Machine Learning is the result of everything we've learned in the process of enabling thousands of Amazon developers to quickly build models, experiment, and then scale to power planet-scale predictive applications," said Bilger. "Early on, we recognized that the potential of machine learning could only be realized if we made it accessible to every developer across Amazon."

 

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