AWS machine learning
Machine learning provides the foundation for many Amazon AI technologies, including SageMaker and DeepLens. Here's how you can use AWS machine learning technology to help your enterprise enable analysis and predictions for a variety of use cases.
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AWS machine learning News
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November 30, 2018
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Nov'18
AWS plans to democratize access to AI and ML
AWS' goal with AI and ML is to give everybody the same opportunity to bring machine learning to their applications – not just the "richest" and most powerful organizations, but any "builder" of ...
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November 29, 2018
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Nov'18
AWS CEO Andy Jassy talks AI, on-premises moves
AWS CEO Andy Jassy discusses how the company enforces ethical use of AI on its platform, its contributions to open source projects and how the on-premises Outposts will work.
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November 29, 2018
29
Nov'18
Amazon SageMaker updates take on workflows, data labeling
AWS has extended its AI portfolio with more options for developers who want to more easily and quickly incorporate machine learning into their applications.
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November 19, 2018
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Nov'18
A complete guide to AWS re:Invent 2018 news and analysis
AWS re:Invent 2018 is sure to generate a number of important updates for enterprise cloud users. Stay on top of the latest news and analysis with this complete conference guide.
AWS machine learning Get Started
Bring yourself up to speed with our introductory content
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Amazon Forecast melds time series data with machine learning
Consider Amazon Forecast to help with data predictions, resource planning and more. Find out how the service works and ways it can be customized to meet enterprise needs. Continue Reading
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AWS re:Invent 2018 predictions emphasize Lambda, containers
Expanded serverless offerings, as well as new instance types and IoT services, are set to emerge from AWS re:Invent 2018, according to these predictions. Continue Reading
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AWS DeepLens
AWS DeepLens is a programmable video camera that enables a developer to easily experiment with machine learning, artificial intelligence (AI) and the Internet of Things (IoT). Continue Reading
Evaluate AWS machine learning Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Future of AWS hinges on AI, Lambda and on premises
SearchAWS contributors say AWS' future will continue to focus on AI and machine learning as the cloud provider attempts to stay ahead of the curve. Continue Reading
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AWS security tools embrace AI, but miss on multi-cloud
AWS has added AI-backed services, such as Amazon GuardDuty and Amazon Macie, to expand its security capabilities, but still hasn't addressed users' needs outside of its own platform. Continue Reading
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AWS should address these user challenges at re:Invent 2018
SearchAWS contributors say Amazon's cloud platform still has shortcomings around data regulation, ops and integrations. They offer some ways AWS could solve these problems at re:Invent this year. Continue Reading
Manage AWS machine learning
Learn to apply best practices and optimize your operations.
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Discover practical applications of machine learning on AWS
Many organizations still don't know how to get value out of AI, but industries ranging from finance to manufacturing have found practical applications for Amazon SageMaker. Continue Reading
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Try this data science experiment for deep learning insights
Deep learning professionals require a specific set of skills and tools. Follow this simple example of a data science project to learn more about the technology and related careers. Continue Reading