How Data Teams Measure AI Impact Beyond Accuracy
from The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations Hosted by Fexingo
Most data teams celebrate model accuracy while ignoring whether the model actually moves business needles. Lucas and Luna drill into why optimizing for F-score or RMSE often leads to production paralysis. They examine a specific case where a major retail chain shifted from predictive precision to causal uplift modeling, revealing how true ROI emerges only when we measure decision quality rather than prediction quality. This episode offers a concrete framework for aligning machine learning outputs with operational outcomes. #DataScience #MachineLearning #ModelROI #CausalInference #UpliftModeling #BusinessImpact #ProductionAI #DecisionIntelligence #FexingoBusiness #BusinessPodcast #TechAnalytics #DataStrategy #ModelMonitoring #OperationalEfficiency #LucasAndLuna #DataDriven #AIethics #MetricsThatMatter Keep every episode free: buymeacoffee.com/fexingo
Embed this episode
No transcript yet.