Amazon Personalize enables developers to build
applications with the same machine learning technology used by
Amazon.com for real-time personalized recommendations – with no
machine learning expertise required
Yamaha, Subway, and Zola among customers using
Amazon Personalize
Today, Amazon Web Services, Inc. (AWS), an Amazon.com company
(NASDAQ: AMZN), announced the general availability of Amazon
Personalize, bringing the same machine learning technology used by
Amazon.com to AWS customers for use in their applications – with no
machine learning experience required. Amazon Personalize makes it
easy to develop applications with a wide array of personalization
use cases, including specific product recommendations,
individualized search results, and customized direct marketing.
Amazon Personalize is a fully managed service that trains, tunes,
and deploys custom, private machine learning models. Amazon
Personalize provisions the necessary infrastructure and manages the
entire machine learning pipeline, including processing the data,
identifying features, selecting algorithms, and training,
optimizing, and hosting the results. Customers receive results via
an Application Programming Interface (API) and only pay for what
they use, with no minimum fees or upfront commitments. To get
started with Amazon Personalize, visit
https://aws.amazon.com/personalize/
Amazon has pioneered the use of machine learning for
recommendation and personalization for more than 20 years. During
that time, customers have asked for access to these capabilities so
they could enjoy similar benefits when running their businesses.
However, the technology can be challenging to deliver effectively
across a variety of use cases because there isn’t a single, master
personalization algorithm. Each use case – videos, music, products,
or news articles – has its own specificities, which requires a
unique mix of data, algorithms, and optimizations to create a
result. Today’s general availability of Amazon Personalize provides
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. Amazon Personalize reduces the time to build a custom
model from months to days. When using Amazon Personalize, customers
provide the service an activity stream from an application (e.g.
page views, signups, or purchases) along with an inventory of the
items to recommend (e.g. music, videos, products, or news
articles), and receive recommendations via an API. Amazon
Personalize does this by processing and examining the data,
identifying what is meaningful, selecting from multiple advanced
algorithms built and refined over years for Amazon’s retail
business, and training and optimizing a personalization model
customized to the data. During the whole time, all of the data is
kept completely private, owned entirely by the customer.
“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,” said Swami Sivasubramanian, Vice
President of Machine Learning, Amazon Web Services, Inc. “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.”
Amazon Personalize is available today in US East (Ohio), US East
(N. Virginia), US West (Oregon), Asia Pacific (Tokyo), Asia Pacific
(Singapore) and EU (Ireland) with additional regions coming
soon.
Yamaha Corporation of America (YCA) offers a large assortment of
high-quality musical instruments and audio products to U.S.
customers. Their products include Keyboard, Guitar, Winds and
Strings, Percussion, Professional Audio and Consumer Audio. “Amazon
Personalize saves us up to 60% of the time needed to set up and
tune the infrastructure and algorithms for our machine learning
models when compared to building and configuring the environment on
our own. It is ideal for both small developer teams who are trying
to build the case for ML and large teams who are trying to iterate
rapidly at reasonable cost. Even better, we expect Amazon
Personalize to be more accurate than other recommender systems,
allowing us to delight our customers with highly personalized
product suggestions during their shopping experience, which we
believe will increase our average order value and the total number
of orders,” said Ishwar Bharbhari, Director of Information
Technology, Yamaha Corporation of America.
The Subway restaurant chain offers guests in over 100 countries
quality ingredients and flavor combinations with nearly 7 million
made-to-order sandwiches created daily. “At Subway, guest
experience matters,” said Neville Hamilton, Interim Chief
Information Officer at Subway. “Using Amazon Personalize, we can
quickly deliver personalized recommendations for our endless
varieties of ingredients and flavors to fit the unique lifestyles
of our busy guests. Amazon Personalize lets our team use simple API
calls to curate recommendations without requiring machine learning
expertise. We are looking forward to continuing to work with Amazon
Personalize to provide the best experience to our guests who want
to eat fresh. We have already successfully tested using Amazon
Personalize to provide recommendations to guests making orders from
our app, and are excited to expand into personalized app
notifications in the near future.”
Zola is the fastest-growing wedding company in the country using
design and technology to create the easiest wedding planning and
registry experience for couples. "At Zola, we develop innovative
wedding planning tools. We want to be there along the entire
wedding journey and provide the best possible recommendations to
our customers based on their style, interests, or preferences.
Until now, those recommendations have been implemented via
rule-based ranking, popularity, or more recently, via a similarity
model calculated internally. These methods were difficult to
maintain and scale. Amazon Personalize provides us with
state-of-the-art algorithms and an end-to-end personalization
solution that enables us to provide recommendations and
personalized content in real time. Being a small team, using Amazon
Personalize will allow us to quickly deliver capabilities that
would have otherwise taken a much larger team and several months
development time," said Stephane Bailliez, Vice President of
Engineering at Zola.
Segment provides customer data infrastructure allowing companies
to collect, unify, and connect their first-party customer data to
over 200 marketing, analytics, and data warehousing tools with just
a flip of a switch. “Today’s consumers expect real-time
personalization and recommendations, yet the reality for most
companies is that the amount of engineering required makes that
experience very hard to create, let alone deliver," said Tom
Pinckney, Head of Partnerships at Segment. “Amazon Personalize
brings Amazon’s world-class machine learning technology to every
company. By combining it with Segment’s Customer Data
Infrastructure, our customers can deliver these highly
individualized recommendations at scale and in real time. We have
been impressed and plan to extend its functionality for Segment
with further integration in the future.”
About Amazon Web Services
For almost 13 years, Amazon Web Services has been the world’s
most comprehensive and broadly adopted cloud platform. AWS offers
over 165 fully featured services for compute, storage, databases,
networking, analytics, robotics, machine learning and artificial
intelligence (AI), Internet of Things (IoT), mobile,
security, hybrid, virtual and augmented reality (VR and AR), media,
and application development, deployment, and management from 66
Availability Zones (AZs) within 21 geographic regions, spanning the
U.S., Australia, Brazil, Canada, China, France, Germany, Hong Kong
Special Administrative Region, India, Ireland, Japan, Korea,
Singapore, Sweden, and the UK. Millions of customers including the
fastest-growing startups, largest enterprises, and leading
government agencies—trust AWS to power their infrastructure, become
more agile, and lower costs. To learn more about AWS,
visit aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Customer reviews,
1-Click shopping, personalized recommendations, Prime, Fulfillment
by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets,
Fire TV, Amazon Echo, and Alexa are some of the products and
services pioneered by Amazon. For more information, visit
amazon.com/about and follow @AmazonNews.
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