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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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Amazon Personalize launches new recipes supporting larger item catalogs with lower latency

AWS Machine Learning Blog

Return item metadata in inference responses – The new recipes enable item metadata by default without extra charge, allowing you to return metadata such as genres, descriptions, and availability in inference responses. If you use Amazon Personalize with generative AI, you can also feed the metadata into prompts.

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How Backstage streamlines software development and increases efficiency

IBM Journey to AI blog

GitOps for repo data Backstage allows developers and teams to express the metadata about their projects from yaml files. This potential stems from their role as force-multipliers in the technology sector, emphasizing the importance of leveraging existing software engineering talent effectively to spur economic growth and innovation.

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Datasets at your fingertips in Google Search

Google Research AI blog

Posted by Natasha Noy, Research Scientist, and Omar Benjelloun, Software Engineer, Google Research Access to datasets is critical to many of today's endeavors across verticals and industries, whether scientific research, business analysis, or public policy.

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Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

AWS Machine Learning Blog

Model cards are an essential component for registered ML models, providing a standardized way to document and communicate key model metadata, including intended use, performance, risks, and business information. It also maintains audit and inference metadata to help drive governance and deployment workflows.

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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning Blog

Amazon Personalize now enables you to return metadata in inference response to improve generative AI workflow Amazon Personalize now improves your generative AI workflow by enabling return item metadata as part of the inference output. Rishabh Agrawal is a Senior Software Engineer working on AI services at AWS.

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From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams

Towards AI

We are data wranglers at heart, not necessarily software engineers by training, and best practices for reproducibility can sometimes get pushed aside in the heat of exploration. As a result, I turned to VS Code, which offers a more robust environment for teamwork and adherence to software engineering principles.