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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

Flipboard

Along with each document slice, we store the metadata associated with it using an internal Metadata API, which provides document characteristics like document type, jurisdiction, version number, and effective dates. This process has been implemented as a periodic job to keep the vector database updated with new documents.

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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning Blog

This configuration is used to set parameters for the SageMaker Processing job and has the initial assumptions of infrastructure needs. The SageMaker Processing job is now started. This metadata and log information maintains a history of the job, its initial and ongoing configuration, and other important data.