669: Streaming, reactive, real-time machine learning
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
Enhancing Real-time Data Processing in Logistics Industry
Exploring the challenges of analyzing complex data schemas in the logistics sector and the importance of enriching data to enable real-time querying for process monitoring, anomaly detection, and predictive modeling. Discussing the benefits of reactive data processing frameworks like Pathway that adapt automatically to changes in delivery networks, avoiding manual retraining of machine learning models. Highlighting real-time machine learning applications in areas such as fraud detection and health systems monitoring for timely alerting and decision-making.
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