Auto-complete, ETL and ML Engineer - Artificial Intelligence Zone

Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning Blog

JANUARY 5, 2024

The AWS portfolio of ML services includes a robust set of services that you can use to accelerate the development, training, and deployment of machine learning applications. The suite of services can be used to support the complete model lifecycle including monitoring and retraining ML models.

Data Science

Data Science Data Drift DevOps Auto-complete

How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

AWS Machine Learning Blog

MARCH 1, 2023

In addition to the challenge of defining the features for the ML model, it’s critical to automate the feature generation process so that we can get ML features from the raw data for ML inference and model retraining. But there is still an engineering challenge. Corresponding tables in each phase are created in Athena.

Automation

Automation ETL Data Drift ML

Artificial Intelligence Zone

Modernizing data science lifecycle management with AWS and Wipro

How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

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