Amazon Web Services, Inc. (AWS) has announced the production release of ‘Amazon Personalize’. With the launch of the new service, Seattle, Washington-based AWS makes the technology it uses for its own machine learning requirements available for its customers to use in their applications. Unlike other solutions, Amazon Personalize does not require users to have machine learning experience. It allows developers to create applications with “a wide array of personalization use cases” such as customized direct marketing, specific product recommendations and individualized search results.
AWS are machine learning pioneers with two decades of experience in the machine learning arena. Available as a managed service, Amazon Personalize “trains, tunes, and deploys custom, private machine learning models”. It is available on an ‘as used’ basis with no minimum fees, meaning users do not need to make major commitments to use the solution. Amazon Personalize provides a complete machine learning solution that offers an infrastructure which processes data, selects algorithms, and trains and optimizes results. Users receive results through an Application Programming Interface (API).
Amazon Personalize significantly reduces the time required to build custom models. It operates “across a variety of use cases” (videos, music, products, news articles, etc.) and generates a “unique mix of data, algorithms, and optimizations” to generate results. Making the solution generally available represents “a major step toward putting the power of Amazon’s experience in machine learning into the hands of everyday application developers and data scientists at businesses of all sizes across all industries”. It is now available in a number of AWS regions including US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), Asia Pacific (Singapore) and EU (Ireland). Availability in more regions is in the pipeline.
“We are excited to share with AWS customers the expertise we’ve developed during two decades of using machine learning to deliver great experiences on Amazon.com,” explained AWS’ Vice President of Machine Learning, Swami Sivasubramanian. “Customers have been asking for Amazon Personalize, and we are eager to see how they implement these services to delight their own end users. And the best part is that these artificial intelligence services, like Amazon Personalize, do not require any machine learning experience to immediately train, tune, and deploy models to meet their business demands.”
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