Explore Python techniques for data observability and anomaly detection in this 28-minute conference talk from EuroPython 2024. Learn methods to monitor data health, spot anomalies in multivariate time series, and perform efficient root cause analysis. Discover strategies for distinguishing true anomalies from data drift and setting up effective monitoring systems. Gain insights on turning data challenges into business opportunities, making this talk valuable for machine learning enthusiasts and those focused on maintaining data quality.