Tag: <span>machine learning operations</span>
A machine-learning model can perform well in testing and still lose accuracy after it reaches production. Customer behaviour changes, data sources evolve, business rules are updated and the relationship between inputs and outcomes can shift. What is MLOps? MLOps, short for machine learning operations, is the set of practices, processes and tools used to develop, […]
The alarm buzzes at 6:30 AM. Sarita scrolls past three notifications on her phone before even getting out of bed: one about model latency spiking 12% overnight, another flagging unusual transaction patterns in the European branch, and a third confirming her retraining job completed successfully. As an MLOps engineer supporting a major banking client’s fraud-detection […]