mallihallintaan

Mallihallintaan, often translated as "model management" or "model governance," refers to the systematic process of developing, deploying, monitoring, and maintaining machine learning models throughout their lifecycle. It encompasses the policies, procedures, and tools necessary to ensure that models are accurate, reliable, ethical, and compliant with relevant regulations. Effective mallihallintaan aims to mitigate risks associated with model performance degradation, bias, and security vulnerabilities.

The key components of mallihallintaan typically include model development standards, version control for models and their associated data, rigorous testing and validation protocols, and continuous monitoring of model performance in production. It also involves establishing clear ownership and accountability for models, as well as processes for model retraining, retirement, and documentation. The goal is to create a robust framework that supports the responsible and sustainable use of machine learning within an organization. By implementing strong mallihallintaan practices, organizations can build trust in their AI systems and maximize their value while minimizing potential negative consequences.