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Amazon launches Fit, a fully managed AI driven recommendation service




Delivery of personal experiences to customers has become easier, thanks to Amazon. The Seattle company today announced the general availability of Amazon Personalize, an AWS service that allows developing websites, mobile apps and content management, and e-mail marketing systems that propose products, tailor-made search results, and customize aircraft features. [19659002] It is in select AWS regions to start, including the United States East (Ohio), the United States East (Northern Virginia), the United States West (Oregon), Asia Pacific (Tokyo), Asia Pacific (Singapore) and the EU (Ireland) . Further places are on the way.

"We are happy to share with AWS customers the expertise we have developed over two decades of using machine learning to deliver good experience on Amazon.com," said AWS Swami Sivasubramanian machine learning VP. "Customers have asked for Amazon Personalize, and we are eager to see how they implement these services to please their own end users. And the best part is that these artificial intelligence services, such as Amazon Personalize, do not require any machine learning experience to immediately train, Set and distribute models to meet their business needs. "

Adapt, announced last year at the Amazon re: Invent conference, is a fully-managed coaching, reporting, and using custom cloud-based learning model by providing the necessary infrastructure and manage things like computing, functionalization, algorithm training and optimization and hosting. Customers provide an activity stream from their apps and websites ̵[ads1]1; such as clicks, pageviews, registrations, purchases – as well as an overview of the items they'd recommend (such as articles, products, videos, or music) and optional demographic information

  Amazon AWS Customize

Above: A chart illustrating the Amazon Personalize process.

Image Credit: Amazon [19659008] Domino, Yamaha, Subway, Bollywood on-demand video host Spuul, and wedding company Zola already use Personalize to mark musical instruments in store catalogs, deliver ingredient and flavor recommendations, and create individual style combinations.

"At Subway, Guest Experience Cases. Using Amazon Personalize, we can quickly deliver customized recommendations for our endless variations of ingredients and flavors to fit the unique lifestyles of our busy guests," says Subway's Chief Information Officer. "Amazon Personalize lets our team … cure recommendations without requiring machine learning skills. We look forward to continuing to work with Amazon to provide the best experience for our guests who want to eat fresh. We have already tested with the use of Amazon Personalize to make recommendations to guests making bookings from our app and are happy to extend to custom app alerts in the near future. "

Customize is the latest fully managed AWS service to turn on general availability of Textract, which uses machine learning to analyze data tables, forms and whole pages for text and data. In slightly related news, Amazon launched March AWS Deep Learning Containers in March , a library of Docker images pre-installed with popular deep learning frames.



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