Catching Drift Before It Costs You: Continuous Oversight for Live AI Systems
Model performance decays quietly as data patterns shift, and the first signal is usually a business metric rather than an alert. Continuous monitoring catches drift while it is still cheap to correct, before degraded predictions reach customers and turn a technical problem into a commercial one.