AWS Expands Amazon SageMaker at re:Invent 2021 for All Users
AWS introduces several new Amazon SageMaker features at re:Invent 2021 to make machine learning accessible to business users and optimize costs for experts. Key updates include a no-code visual interface, managed data labeling, and unified notebook capabilities.
AWS reveals multiple new Amazon SageMaker features at re:Invent 2021 that make machine learning accessible to a wider audience. To support business analysts in finance, marketing, and operations, AWS introduces Amazon SageMaker Canvas, a visual point-and-click interface that allows users to generate accurate ML predictions without writing any code. This tool offers a two-month free trial for users to build up to 10 models.
To address the growing demand for data labeling, AWS launches Amazon SageMaker Ground Truth Plus. This new managed service provides an expert workforce trained specifically on ML tasks to handle data security and compliance requirements. Users simply upload their data, and the service builds and manages the entire labeling workflow without requiring manual setup.
For data scientists and developers, AWS enhances Amazon SageMaker Studio with a unified notebook experience. This update allows users to handle data processing, analytics, and ML workflows all within a single interface. The improvements aim to streamline the model building process and reduce operational costs for ML experts.