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Enrich your AWS Glue Data Catalog with generative AI metadata using Amazon Bedrock

Flipboard

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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How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

AWS Machine Learning Blog

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.

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David Maher, CTO of Intertrust – Interview Series

Unite.AI

What role does metadata authentication play in ensuring the trustworthiness of AI outputs? Metadata authentication helps increase our confidence that assurances about an AI model or other mechanism are reliable. We want to use AI to automate systems that optimize critical infrastructure processes. for a specific purpose.

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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

Today, were excited to announce the general availability of Amazon Bedrock Data Automation , a powerful, fully managed feature within Amazon Bedrock that automate the generation of useful insights from unstructured multimodal content such as documents, images, audio, and video for your AI-powered applications.

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Ivo Secures $16M Series A to Revolutionize AI-Powered Contract Review, Launches Ivo Search Agent

Unite.AI

Traditional contract automation tools often compromise accuracy for speed, forcing legal departments to manually intervene and double-check AI-generated outputs. Ivo's Breakthrough in AI-Powered Legal Review Ivo is not just another contract automation tool. This brings Ivos total funding to $22.2

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning Blog

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.

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MaRDIFlow: Automating Metadata Abstraction for Enhanced Reproducibility in Computational Workflows

Marktechpost

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.

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