[November 22, 2017] |
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AWS Announces Amazon ML Solutions Lab
Amazon Web Services, Inc. (AWS), an Amazon.com (News - Alert) company (NASDAQ: AMZN),
announced the Amazon ML Solutions Lab, a new program that connects
machine learning experts from across Amazon with AWS customers to help
identify practical uses of machine learning inside customers'
businesses, and guide them in developing new machine learning-enabled
features, products, and processes. The Amazon ML Solutions Lab combines
hands-on educational workshops with brainstorming sessions to help
customers "work backwards" from business challenges, and then go
step-by-step through the process of developing machine learning-based
solutions. Customers will work with Amazon machine learning experts to
prepare data, build and train models, and put models into production. At
the end of the program, customers will be able to take what they have
learned through the process and use it elsewhere in their organization.
To get started with the Amazon ML Solutions Lab, visit https://aws.amazon.com/ml-solutions-lab.
While AWS customers across various industries are moving quickly to
adopt machine learning, relatively few organizations have machine
learning expertise, and many are challenged in taking the first steps to
introduce machine learning and artificial intelligence into their
products and processes. Amazon has been investing in machine learning
for 20 years, using machine learning and deep learning to make product
recommendations, optimize robotic picking routes in fulfillment centers,
sharpen algorithms that inform Amazon's supply chain, forecasting, and
capacity planning, provide the intelligence in Amazon Alexa's natural
language understanding (NLU) and automated speech recognition (ASR), and
support Amazon's drone delivery initiative (Prime Air). Thousands of
engineers across Amazon are working on machine learning. The Amazon ML
Solutions Lab provides customers access to the same talent that built
many of these machine learning-powered products and services. Amazon ML
Solutions Lab engagements (which range from weeks to months depending on
the nature of the solution) are designed to take customers through the
full process of implementing machine learning, combining educational
workshops and boot camps, advisory professional services, and hands-on
help building custom models with a customer's own data. For
organizations who already have data prepared for machine learning, AS
offers the ML Solutions Lab Express. This four-week intensive program
starts with a boot camp hosted at Amazon, and is followed by three weeks
of intensive problem-solving and machine learning model building with
Amazon machine learning experts.
"We can't wait for developers to start their journeys into machine
learning with the Amazon ML Solutions Lab," said Swami Sivasubramanian,
Vice President of Amazon AI. "By combining the expertise of the best
machine learning scientist and practitioners at Amazon with the deep
business knowledge of our customers, the Amazon ML Solutions Lab will
help customers get up to speed on machine learning quickly, and start
putting machine learning to work inside their organizations."
Janssen, the pharmaceutical companies of Johnson & Johnson, is committed
to collaborating with the world for the health of everyone in it. "We
recently reached out to the Amazon ML Solutions Lab to collaborate with
our data scientists on a deep learning initiative," said Jesse Heap,
Senior IT Manager, Data Sciences at Janssen Inc. "We are pleased to
state that the Amazon ML Solutions Lab quickly kicked off a deep
learning workshop through which machine learning experts from Amazon
have been brainstorming with and training our data scientists on
applying deep learning to pharma-related use cases."
The Washington Post is one of the leading daily newspapers in the United
States. "At The Washington Post, we are continually working to improve
the experience of our readers using machine learning algorithms," said
Dr. Sam Han (PhD), director of data science at The Washington Post. "We
are pleased to collaborate with the Amazon ML Solutions Lab to build
models in application areas such as comment moderation, keyword tagging,
and headline generation. Through our joint sessions, we have already
developed a much better understanding of the challenges involved, and a
path to solution, and we look forward to partnering with the Amazon ML
Solutions Lab to build out cutting-edge machine learning models to
improve the accuracy of our existing models."
With 189 member countries, staff from more 170 countries, and offices in
over 130 locations, the World Bank Group is a unique global partnership.
"We are excited to collaborate with Amazon ML Solutions Lab folks to
leverage machine learning in our mission to end extreme poverty and
promote shared prosperity, " Misha Lokshin, World Bank, Development
Economics Group.
Amazon ML Solutions Lab engagements are available to all AWS customers
with AWS Business Support today. Customers can learn more at https://aws.amazon.com/ml-solutions-lab.
About Amazon Web Services (News - Alert)
For 11 years, Amazon Web Services has been the world's most
comprehensive and broadly adopted cloud platform. AWS offers over 90
fully featured services for compute, storage, networking, database,
analytics, application services, deployment, management, developer,
mobile, Internet of Things (IoT), Artificial Intelligence (AI),
security, hybrid, and enterprise applications, from 44 Availability
Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil,
Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the
UK. AWS services are trusted by millions of active customers around the
world -- including the fastest growing startups, largest enterprises,
and leading government agencies -- to power their infrastructure, make
them more agile, and lower costs. To learn more about AWS, visit https://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 www.amazon.com/about
and follow @AmazonNews.
View source version on businesswire.com: http://www.businesswire.com/news/home/20171122005634/en/
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