Marktechpost
MAY 8, 2024
Emerging tools like Jupyter notebooks and Code Ocean facilitate documentation and integration, while automated workflows aim to merge computer-based and laboratory computations. FMI’s container-based approach aids in replicating simulations but requires metadata for broader reproducibility and adaptation.
NOVEMBER 15, 2024
Metadata can play a very important role in using data assets to make data driven decisions. Generating metadata for your data assets is often a time-consuming and manual task. This post shows you how to enrich your AWS Glue Data Catalog with dynamic metadata using foundation models (FMs) on Amazon Bedrock and your data documentation.
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AWS Machine Learning Blog
OCTOBER 16, 2024
With a growing library of long-form video content, DPG Media recognizes the importance of efficiently managing and enhancing video metadata such as actor information, genre, summary of episodes, the mood of the video, and more. Video data analysis with AI wasn’t required for generating detailed, accurate, and high-quality metadata.
AWS Machine Learning Blog
JULY 2, 2024
With metadata filtering now available in Knowledge Bases for Amazon Bedrock, you can define and use metadata fields to filter the source data used for retrieving relevant context during RAG. Metadata filtering gives you more control over the RAG process for better results tailored to your specific use case needs.
Unite.AI
JULY 9, 2024
The latest AI solutions now enable wealth managers to eradicate human error and secure integral daily processes, including knowledge work automation, which improve client experience and increases trust. Knowledge work automation, supported by metadata and AI technology, ensure wealth managers are accessing the correct data every time.
AWS Machine Learning Blog
OCTOBER 29, 2024
It stores information such as job ID, status, creation time, and other metadata. The following is a screenshot of the DynamoDB table where you can track the job status and other types of metadata related to the job. The DynamoDB table is crucial for tracking and managing the batch inference jobs throughout their lifecycle.
AWS Machine Learning Blog
DECEMBER 5, 2023
Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.
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