Operating ML Beyond Accuracy

The Incident A fraud detection model with 98% test accuracy was silently blocking legitimate customers for six months.No alerts fired. No system crashed. The dashboards looked healthy.But the business was losing $765,000 every month. The model wasn’t broken in development — it was broken in production. This case study explains how the failure wasn’t caused by bad … Read more

Best MLOps Practices: A Real-World Case Study

How we at Infivit transformed chaotic ML experiments into a production-ready system using modern MLOps practices The Hidden Crisis in Machine Learning Teams Machine learning was supposed to make our lives easier. The promise was simply to build smart models, deploy them, and watch as they solve complex problems automatically. But if you’ve worked on … Read more