Productizing AI & ML for Predictive Maintenance with Dash and Moov AI

A special joint webinar with Plotly and Moov AI

Recorded on June 17th, 2020

Access the Recording

Predictive Maintenance is the application of Artificial Intelligence (AI) techniques to sensor data from real-world machines so as to repair or replace parts before they break down, to increase safety and save time and money. Traditional reporting or dashboarding approaches to sensor monitoring presuppose that once a dashboard is built, someone is looking at it regularly, looking for anomalies to respond to. AI allows us to go beyond this tedious manual process by constantly monitoring systems for anomalies and alerting operators to dig into the data using analytical applications when nuanced judgement is required. Join Olivier Blais of Moov AI and Nicolas Kruchten of Plotly as they demonstrate how to operationalize predictive maintenance.

During this 1 hour recording, we show you how to:

Improve operational efficiencies, measure machine anomalies, and reduce costs through predictive maintenance
Implement ML for Fault Detection/Analysis, and Remaining Useful Life Predictions
Utilize Dash Enterprise's Snapshot Engine to receive real-time email alerts of irregularities

Meet the Speakers

Olivier Blais

Olivier Blais is the Co-Founder and VP of Data Science of Moov AI. He is a leading data science expert whose cutting-edge knowledge of AI and machine learning led him to support many companies’ digital transformations, as well as to implement projects in many different industries.

Nicolas Kruchten

Nicolas is the VP of Product at Plotly and data visualization expert. He leads Plotly's Graphing Libraries group and is the author of the Plotly Express, react-pivottable and PivotTable.js data analysis tools. Before joining Plotly he worked in travel demand modeling, econometrics, telecommunications, ad technology and healthcare analytics.