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Remove Auto-classification Remove Auto-complete Remove Metadata Remove ML Engineer
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

JUNE 27, 2023

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Flexibility, speed, and accessibility : can you customize the metadata structure? Can you see the complete model lineage with data/models/experiments used downstream?

Machine Learning 134
Machine Learning Metadata Data Scientist Data Quality 134
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How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

AWS Machine Learning Blog

MARCH 1, 2023

The ETL pipeline, MLOps pipeline, and ML inference should be rebuilt in a different AWS account. To solve this problem, we make the ML solution auto-deployable with a few configuration changes. ML engineers no longer need to manage this training metadata separately.

Automation 92
Automation ETL Data Drift ML 92
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