Introduction to Data Governance for Machine Learning Systems: Fundamental Principles, Critical Practices, and Future Trends

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024

A. Nandan PrasadIntroduction to Data Governance for Machine Learning Systemshttps://doi.org/10.1007/979-8-8688-1023-7_7

7. Monitoring and Maintaining Machine Learning Systems

Aditya Nandan Prasad¹  

(1)

Bangalore, Karnataka, India

 

Effective monitoring and maintenance of machine learning (ML) systems is a crucial component of ensuring their reliability, robustness, and relevance over time. Given the dynamic nature of ML models and the environments in which they operate, ongoing oversight is necessary to detect and address issues such as model drift, bias, and performance degradation. This chapter explores the multifaceted processes involved in monitoring and ...