amazon seattle hq spheres

AWS Announces Amazon ML (Machine Learning) Solutions Lab

SEATTLE–(BUSINESS WIRE)–Amazon Web Services, Inc. (AWS), an 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

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, AWS 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…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.” Swami Sivasubramanian, Vice President of Amazon AI

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…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.” Jesse Heap, Senior IT Manager, Data Sciences at Janssen Inc.

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…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.” Dr. Sam Han (PhD), director of data science at The Washington Post.

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

Subscribe to Our Newsletter

Business Insights for Your Online Business Presented with a Dash of Humor

We do not share your information and you can unsubscribe anytime.

Connect With Us And Other Small Business Owners

Please head over to our Facebook Group for Small Business Sellers and interact with other small business owners.

Follow us on FacebookTwitter, and LinkedIn to stay up to date with relevant news and business insights for your online business.

Leave a Reply

Your email address will not be published. Required fields are marked *