How AI Models Learn From Mistakes

We explore how modern data teams are moving beyond static model training to build systems that actively learn from errors in production. Using the example of a major logistics firm’s routing algorithm, we break down the mechanics of online learning and feedback loops. Lucas and Luna discuss the technical challenges of labeling bad outcomes, the risk of model collapse, and why treating mistakes as data is the next frontier in machine learning operations. #OnlineLearning #MachineLearningOps #ModelDrift #FeedbackLoops #DataScience #ArtificialIntelligence #LogisticsTech #AlgorithmicBias #ContinuousTraining #RealTimeData #PredictiveAnalytics #TechInnovation #BusinessStrategy #FexingoBusiness #BusinessPodcast #LucasAndLuna #DataDriven #FutureOfAI Keep every episode free: buymeacoffee.com/fexingo