Eyeota: Scalable ML Model Lifecycle Management for Advertising Audience Discovery

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Опубликовано 26 апреля 2021, 16:49
Learn how Eyeota architected a scaleable ML pipeline on AWS, to drive improvements in ad-tech data quality. The solution utilizes Sagemaker, Glue, Airflow and Cloudwatch to orchestrate an ML model lifecycle that iteratively improves over time.

Check out more resources for architecting in the #AWS​​​ cloud:
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