Effective governance is a crucial component of every successful machine learning initiative. Yet, according to Algorithmia's 2021 enterprise trends in machine learning report, governance-related issues present the #1 roadblock for organizations implementing ML. 56% of all organizations struggle with governance, security, and auditability issues, and 67% must comply with multiple regulations for their machine learning.
While there may be a lot of talk about governance, very little prescriptive advice exists for how to implement it in practice. Introducing the first comprehensive governance report: The Framework for ML Governance.
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