Machine Learning - eBook (EN)

Democratized, operationalized, responsible: the 3 keys to successful AI and ML outcomes

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Successful outcomes start here More than 100,000 customers have chosen AWS for AI and ML to create new customer experiences, optimize their businesses, augment their employees' ingenuity, help improve the quality of their products, and so much more. That's because AWS supports you no matter where you are on your AI and ML journey—with the solutions you need to scale without limits. Connect with the experts from AWS • AWS Professional Services is a global team of experts that can help you realize your desired business outcomes for the AWS Cloud • Amazon ML Solutions Lab provides a risk-free environment in which to identify and test ML solutions and consider your organization's best ROI-producing opportunities Collaborate with an official AWS Partner • AWS Partners are uniquely positioned to help AWS customers accelerate the journey to the AWS Cloud Construct it yourself with proven solutions • AWS AI services let you easily add intelligence to applications—no ML skills required • Amazon SageMaker empowers users to build, train, and deploy ML models for any use case with fully managed infrastructure, tools, and workflows • AI Use Case Explorer helps you discover the top AI use cases, customer stories, and implementation paths based on your business objectives • AWS Solutions Library offers solutions built by AWS and AWS Partners for a broad range of use cases • Amazon SageMaker JumpStart provides SageMaker solutions for the most common use cases 15

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