AWS Expands Amazon SageMaker to Bring Machine Learning to Business Users
AWS announces several new Amazon SageMaker features at re:Invent 2021 that make machine learning accessible to non-technical business users while improving performance for data scientists.
AWS announces a suite of new Amazon SageMaker features at re:Invent 2021 that make machine learning accessible to a broader audience. These updates allow business analysts without coding experience to generate accurate ML predictions independently. Simultaneously, the new tools increase performance and reduce costs for experienced data scientists and developers.
Amazon SageMaker Canvas expands access to ML by providing business users with a visual, point-and-click interface to build models without writing code. Additionally, Amazon SageMaker Ground Truth Plus addresses the growing demand for training data by offering a managed expert workforce to handle data labeling workflows, ensuring high-quality datasets without requiring companies to build their own labeling applications.
For technical users, AWS releases enhancements to Amazon SageMaker Studio that unify data processing, analytics, and ML workflows into a single notebook environment. This universal notebook allows developers to connect to various data sources and write transformation code for diverse workloads, streamlining the entire model building process.