How does AI-driven deployment differ between traditional software and ML models (MLOps)?

AI is increasingly involved in deployment decisions—auto-rollbacks, approvals, test selection—but not all “AI-driven deployments” are the same. There’s a critical distinction engineering leaders need to understand: How does AI-driven deployment differ between traditional software and ML models (MLOps), and what does that mean for our CI/CD pipeline? If you don’t account for this difference, you […] The post How does AI-driven deployment differ between traditional software and ML models (MLOps)?