Most companies implement AI. Few actually govern it.

1. 1Implement AI governance frameworks to ensure accountability and transparency
2. 2Develop clear AI policies and procedures to guide AI development and deployment
3. 3Establish AI risk management protocols to identify and mitigate potential risks
4. 4Monitor and evaluate AI performance in production to detect and address failures
5. 5Integrate AI governance into existing IT governance structures to ensure alignment and consistency

Product managers, data scientists, and engineers can benefit from understanding the importance of AI governance to ensure successful AI implementation and mitigate production risks

💡 AI governance is crucial for successful AI implementation and mitigating production risks

💡 AI adoption doesn't guarantee success. Proper governance is key to avoiding production failures #AI #Governance