Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Machine Learning in Operational Processes
This chapter explores the application of machine learning in various operational use cases, including sales forecasting, dispatch optimization, and predictive maintenance. It highlights the shift from traditional modeling techniques to advanced machine learning methods, emphasizing the significance of system architecture in enhancing prediction accuracy and organizational integration. Additionally, the discussion covers the evolution of time series forecasting, the management of multiple models, and the strategic importance of robust architectural foundations for scaling machine learning initiatives.
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