[R] EMEA19 - Assets (new)

AI Enabled World IDC Infographic

Amazon Web Services Resources EMEA

Issue link: https://emea-resources.awscloud.com/i/1124956

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Developing Applications for an $79 BILLION BY 2022 AI and Machine Learning Tools from AWS By 2021 Choose from pre-trained AI services; Amazon SageMaker to build and scale machine learning; or build custom models with support for all the popular open-source frameworks. AWS AI capabilities are built on a comprehensive cloud platform, optimized for machine learning with high- performance compute, security and analytics. A comprehensive set of AI and ML services for your business: 2019 Developer Tools enable developers to get started with machine learning on AWS. Machine Learning Training allows you to build new ML skills in your organization, using the same curriculum used to train Amazon's developers and data scientists. You can also use AWS DeepRacer and AWS DeepLens for hands-on machine learning. The Amazon ML Solutions Lab combines hands-on educational workshops with advisory professional services to help you 'work backwards' from business challenges, and then go step-by- step through the process of developing machine learning-based solutions. You'll be able to take what you have learned through the process and use it elsewhere in your organization to apply machine learning to business opportunities. Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Amazon SageMaker is a fully-managed service that covers the entire machine learning workflow to label and prepare your data, choose an algorithm, train the algorithm, tune and optimize it for deployment, make predictions, and take action. Your models get to production faster with much less effort and lower cost. AI Services provide developers with a way to add intelligence to their applications even if they don't have any machine learning experience. These services cover use cases related to computer vision, language and speech, chatbots, personalization and recommendations, and forecasting. Organizations use machine learning and deep learning to build AI into applications and business processes.

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