Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
00:00
Operationalizing Machine Learning for Time-Series Data
This chapter focuses on the complexities of managing multiple machine learning models for time-series data, emphasizing the importance of automation in monitoring and retraining. The discussion highlights the transition from passive to active monitoring strategies, especially in the context of the SageMaker platform, while addressing challenges such as the lag in data reception.
Transcript
Play full episode
