Automation Blog Metadata 
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.
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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.
AWS Machine Learning Blog
NOVEMBER 14, 2024
You can trigger the processing of these invoices using the AWS CLI or automate the process with an Amazon EventBridge rule or AWS Lambda trigger. structured: | Process the pdf invoice and list all metadata and values in json format for the variables with descriptions in tags. The result should be returned as JSON as given in the tags.
IBM Journey to AI blog
JUNE 12, 2023
This requires a careful, segregated network deployment process into various “functional layers” of DevOps functionality that, when executed in the correct order, provides a complete automated deployment that aligns closely with the IT DevOps capabilities. that are required by the network function. SRIOV, Multus, etc.)
IBM Journey to AI blog
SEPTEMBER 5, 2024
Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality. Automation can significantly improve efficiency and reduce errors. They often include features such as metadata management, data lineage and a business glossary.
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