Machine Learning could be the Rainmaker for Amazon Cloud
The machine learning is capable of making technology more accessible to developers who are willing to experiment with product portfolio.
Amazon Web Services revealed new machine-learning tools including algorithms that automate decisions and speech recognition to maintain leading position over Microsoft and Alphabet in cloud computing market in December 2017. Amazon Web Services chief executive officer Andy Jassy announced more than 20 new functions at the company’s annual event this week in Las Vegas.
Inclination of customers towards machine learning is resulting in to lack of resources and expertise cloud companies provide. According to the Jassy, the industry has become competitive in providing customers tools and functions to use that data in new ways. Those tools are helping speed the transition to the cloud, since companies that don’t have access to them will be at a competitive disadvantage.
According to Machine Learning Market report published by Coherent Market Insights, Machine learning enables machines to learn directly from data, experience, and examples by permitting computers to execute specific tasks smartly, machine learning allows computers to carry complex processes by learning from examples or data. It enhances the analytical capabilities of machine learning systems. Amazon introduced SageMaker, which provides popular tools for helping developers write, tune, and deploy algorithms for tasks such as parsing data or recognizing images and speech. Amazon also showcased AWS DeepLens, a device to help developers understand and experiment with machine learning.
In a demonstration, the camera recognized a smile to be a positive reaction to a music album cover and a frown to be a negative reaction, enabling it to fine tune a customized playlist for the user. It can also program a garage door to open when the camera recognizes a license plate number. The device is intended to inspire developers to experiment with machine learning.
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