The world we live in is rapidly changing, and so are the data and features that companies and customers use to train their models. Retraining models to keep them in sync with these changes is critical to maintain accuracy. Therefore, you need an agile and dynamic approach to keep models up to date and adapt them to new inputs. This combination of great models and continuous adaptation is what will lead to a successful machine learning (ML) strategy.
Today, we are excited to announce the launch of Amazon Comprehend flywheel—a one-stop machine learning operations (MLOps) feature for an Amazon Comprehend model. In this post, we demonstrate how you can create an end-to-end workflow with an Amazon Comprehend flywheel.
Solution overview
Amazon Comprehend is a fully managed service that uses natural language processing (NLP) to extract insights about the content of documents. It helps you extract information by recognizing sentiments, key

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