Effective governance is a crucial component of every successful machine learning (ML) initiative. Yet, according to DataRobot’s 5 Latest Trends in Enterprise Machine Learning report, governance-related issues are one of the biggest roadblocks for organizations implementing ML. Around 56% of all organizations struggle with governance, security, and auditability issues.
While there may be a lot of talk about governance, very little prescriptive advice exists for how to implement it in practice. The Framework for ML Governance report by O’Reilly aims to address this gap and offer practical governance advice for teams building and scaling ML initiatives.