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How Dialog Axiata used Amazon SageMaker to scale ML models in production with AI Factory and reduced customer churn within 3 months

AWS Machine Learning Blog

MAY 8, 2024

The incorporation of an experiment tracking system facilitates the monitoring of performance metrics, enabling a data-driven approach to decision-making. Data drift and model drift are also monitored. We appreciate you for reading this post, and hope you learned something new and useful. Thank you Nilanka S.

ML Categorization AI AI

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

JUNE 27, 2023

Some popular data quality monitoring and management MLOps tools available for data science and ML teams in 2023 Great Expectations Great Expectations is an open-source library for data quality validation and monitoring. It could help you detect and prevent data pipeline failures, data drift, and anomalies.

Machine Learning

Machine Learning Metadata Data Scientist Data Quality

Artificial Intelligence Zone

How Dialog Axiata used Amazon SageMaker to scale ML models in production with AI Factory and reduced customer churn within 3 months

MLOps Landscape in 2023: Top Tools and Platforms

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