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Sep 19, 2026 11 min

Why Your AI Models Fail in Production

from The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations Hosted by Fexingo

We drill into the hidden cost of data drift and why accuracy metrics lie. Lucas and Luna explore how a major logistics firm’s routing algorithm degraded by eighteen percent in six months, not because the code broke, but because the real world changed faster than their validation pipeline. We examine concrete steps to monitor feature stability and catch concept drift before it costs you money. #DataScience #MachineLearning #ProductionAI #ConceptDrift #ModelMonitoring #FeatureStability #LogisticsTech #DataEngineering #FexingoBusiness #BusinessPodcast #AIAnalytics #TechTrends #AlgorithmicBias #RealWorldData #PredictiveModels #LucasAndLuna #DataDriven #EnterpriseAI Keep every episode free: buymeacoffee.com/fexingo

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Why Your AI Models Fail in Production

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This episode is 11 minutes long.

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This episode was published on September 19, 2026.

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