AWS, Data Observability and Data Preparation

Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

AWS Machine Learning Blog

AUGUST 21, 2024

In the following sections, we provide a detailed, step-by-step guide on implementing these new capabilities, covering everything from data preparation to job submission and output analysis. This use case serves to illustrate the broader potential of the feature for handling diverse data processing tasks.

AWS

AWS Data Preparation ML ML

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

JUNE 27, 2023

For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services. SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale.

Machine Learning

Machine Learning Machine Learning ML ML

Data Science Current

Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

MLOps Landscape in 2023: Top Tools and Platforms

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