Your Hosts: Fred and Melody
This podcast details how to implement Industrial DataOps in Continuous Predictive Maintenance (cPdM) to optimize maintenance processes and enhance operational efficiency in industrial environments.
It outlines the key steps involved, including data gathering from various sources, preprocessing, feature engineering, machine learning modeling, and dashboarding for visualization.
The podcasters emphasize the benefits of integrating Industrial DataOps into cPdM, highlighting improvements in data quality and accessibility, predictive accuracy, proactive maintenance strategies, cost efficiency, operational efficiency, and continuous improvement.
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Click here for the related Newsletter: #036: Industrial DataOps Part III - DataOps + Continuous Predictive Maintenance (cPdM)
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