Machine learning (ML) can solve business problems that help organizations achieve better outcomes. But, how do you take ML beyond technical users to implement it throughout your organization? In this session, learn how you can use Amazon SageMaker Canvas to complete the ML lifecycle from preparing data and creating models to generating predictions, without writing a single line of code. With SageMaker Canvas, you can utilize ready-to-use models or create your own models to get insights from your data and ML models. Join us in the journey to democratize ML across your organization and achieve better business outcomes.

Learn more about AWS re:Invent at https://go.aws/46iuzGv.

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