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AWS Announces Amazon ML Solutions Lab

By   /  November 27, 2017  /  No Comments

by Angela Guess

According to a recent press release, “Amazon Web Services, Inc., an Amazon.com company, 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.”

The release goes on, “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.”

Read more at Business Wire.

Photo credit: AWS

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