What You Need to Know About Machine Learning Governance

As machine learning (ML) becomes increasingly prevalent in the software-as-a-service (SAAS) industry, it is important to understand the implications of ML governance. In this article, we’ll explore what ML governance is, and why it is important for SAAS companies.

First, let’s examine what ML governance is. ML governance is the process of managing and monitoring ML models to ensure that they are compliant with data privacy regulations. Additionally, ML governance involves verifying that ML models are performing as expected and that they are not introducing any unintended biases.

Furthermore, ML governance is important for SAAS companies. ML models are being used to automate processes, such as customer support and customer segmentation. It is important to ensure that ML models are compliant with data privacy regulations and are not introducing any unintended biases.

Additionally, ML governance is important for companies that are using ML to create new products and services. ML models must be trained and tested properly to ensure that they are performing as expected. Additionally, companies must ensure that their data is secure and protected.

It is clear that ML governance is important for SAAS companies. Companies that are able to effectively utilize ML governance will be better positioned to capitalize on the opportunities presented by the technology.