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_10

10. Future Trends and Emerging Challenges

Aditya Nandan Prasad¹  

(1)

Bangalore, Karnataka, India

 

Machine learning (ML) has rapidly transformed from a niche technology to a critical tool that powers various aspects of business operations and decision making. With this transformation, the governance of data, particularly within the context of ML, has emerged as a vital concern for organizations. Data governance in ML refers to the processes, policies, and practices that ensure the quality, privacy, security, and ethical use of data across ...