How Do We Fix It?
We can't just build a model and walk away. To keep AI from becoming a "clueless puppy," companies need to bridge that gap. This means building better pipelines that connect the development phase to the real world, and—most importantly—setting up constant monitoring.
Think of it like a fitness tracker for your AI. If the model starts acting weird or its accuracy dips, we need an alarm to go off immediately so we can retrain it and get it back on track.
Building AI is the fun part, but keeping it smart in the wild? That’s where the real magic (and hard work) happens!