As more organizations and businesses such as healthcare and online services are turning towards big data analytics to make sense of massive information, Amazon Web Services, Inc. recently announced the launch of a new technology called "Amazon Machine Learning".

Amazon Machine Learning is a cloud-based service designed to help businesses and developers extract useful information from large amounts of data.

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Following the footsteps of software giant Microsoft Corporation, which integrated its own machine learning capability with Azure last February, Amazon also intends to tackle the problem of big data many companies are facing.

"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."

With Amazon Machine Learning, companies and developers from a wide range of industries will be able to analyze data and make use of them to better improve their services and processes.

"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."

Machine learning is a discipline that's also used to develop artificially intelligent robots. Its use with big data is also called big data analysis.

Using big data analysis, computer scientists from the Washington University in St. Louis' School of Engineering & Applied Science in the U.S. have made new discoveries on the 'gephyrin gene' for the study of human genome.

A team of scientists from the University of Wisconsin-Madison are also currently working on new software that will enable astronomers to interpret millions of data about the location and properties of stars coming from the Square Kilometer Telescope (SKA).

TagsBig Data Analytics, Analysis, Amazon, Amazon Web Services, Amazon Machine Learning, Data, Amazon.com