AWS Unveils SageMaker Updates to Expand Machine Learning Access and Cut Costs
AWS announces a suite of new Amazon SageMaker features from re:Invent 2021 designed to bring machine learning to non-technical business users while improving efficiency for experts.
AWS announces several new Amazon SageMaker features at re:Invent 2021 that make machine learning accessible to a broader range of users while boosting performance for experts. A major focus is expanding ML beyond data scientists to business analysts through Amazon SageMaker Canvas, which provides a visual, point-and-click interface for generating accurate predictions without writing any code.
To address the growing need for high-quality training data, AWS introduces Amazon SageMaker Ground Truth Plus. This fully managed service connects users with an expert ML workforce to handle data labeling workflows, removing the need for companies to build their own labeling applications or manage their own labeling teams.
For data scientists and developers, AWS releases enhancements to Amazon SageMaker Studio that consolidate data processing, analytics, and ML workflows into a single unified notebook. This universal notebook environment allows users to connect to various data sources and write transformation code for different workloads all in one place, streamlining the model development process.