Track machine learning experiments with MLflow on Amazon SageMaker using Snowflake integration

Favorite A user can conduct machine learning (ML) data experiments in data environments, such as Snowflake, using the Snowpark library. However, tracking these experiments across diverse environments can be challenging due to the difficulty in maintaining a central repository to monitor experiment metadata, parameters, hyperparameters, models, results, and other pertinent

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Shared by AWS Machine Learning December 17, 2025

Tracking and managing assets used in AI development with Amazon SageMaker AI 

Favorite Building custom foundation models requires coordinating multiple assets across the development lifecycle such as data assets, compute infrastructure, model architecture and frameworks, lineage, and production deployments. Data scientists create and refine training datasets, develop custom evaluators to assess model quality and safety, and iterate through fine-tuning configurations to optimize

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Shared by AWS Machine Learning December 17, 2025

Top Open Source licenses in 2025

Favorite The Open Source Initiative (OSI) serves as the premier resource for millions of visitors seeking essential information about OSI-Approved licenses. The enriched license pages go beyond basic descriptions, incorporating relevant metadata to provide deeper insights and better support for Open Source users, developers, and organizations. The most popular licenses

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Shared by voicesofopensource December 17, 2025

How Tata Power CoE built a scalable AI-powered solar panel inspection solution with Amazon SageMaker AI and Amazon Bedrock

Favorite This post is co-written with Vikram Bansal from Tata Power, and Gaurav Kankaria, Omkar Dhavalikar from Oneture. The global adoption of solar energy is rapidly increasing as organizations and individuals transition to renewable energy sources. India is on the brink of a solar energy revolution, with a national goal

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Shared by AWS Machine Learning December 16, 2025