Which AWS service can automate data labeling for machine learning?

The automated data labeling for machine learning is effectively handled by Amazon SageMaker Ground Truth. This service provides a comprehensive solution for labeling the data required to train machine learning models. It offers a combination of human labeling and machine learning to improve efficiency in the labeling process. By leveraging active learning, Ground Truth can reduce the amount of data that requires human labeling, allowing machine learning practitioners to focus their resources on the most complex examples.

Amazon SageMaker Ground Truth supports a variety of data types, including images, text, and videos, and offers built-in workflows to facilitate the labeling tasks. Its machine learning assistance helps to automatically label large datasets, accelerating the model training process dramatically and improving overall productivity in data preparation.

Other services listed offer different functionalities, such as text analysis or transcription, but do not specialize in automating the data labeling process for machine learning.