ETL, ML and System Architecture - Data Science Current

Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning Blog

JANUARY 10, 2024

ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust MLOps platform to work in.

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Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 12, 2024

There are various technologies that help operationalize and optimize the process of field trials, including data management and analytics, IoT, remote sensing, robotics, machine learning (ML), and now generative AI. Agmatix’s technology architecture is built on AWS. The transformed data acts as the input to AI/ML services.

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Data Science Current

Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

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