Realize equipment predictive maintenance by using Multivariate anomaly detector

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Topic: Realize equipment predictive maintenance by using Multivariate anomaly detector

Speaker: Tony Xing, Principal PM Manager, Azure AI at Microsoft

Bio:
Tony is leading the creation of decision intelligence products including Azure Metrics Advisor and Anomaly Detector. These products help organizations to protect their growth engine by extracting intelligence from their operation data and improve business efficiency. Tony’s career span over 20 years in data and AI. Prior to his current role, Tony held various PM and engineering roles within the company across Office, Skype, Bing… Prior to joining Microsoft, Tony held Engineering and Product Management positions in various companies, focusing on mobile and large-scale data processing and analytics.

Abstract:
Come to learn what is multivariate anomaly detector, how other asset intensive customers are using this to improve the reliability of the production, how you can build AI based predictive maintenance solution this this state of art AI technology and best practices for data scientists and ML engineer.

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