Machine Learning and Industry 4.0: The New Predictive Maintenance

In this webinar, we will address how maintenance strategies affect the total efficiency of the factory, how to improve these strategies, and how to reduce costs due to downtime.

We will present a strategy that uses statistical modeling based on Machine Learning to study anomalies, combined with real-time sensor data to predict them.

A real case showing how TIBCO Software helped a manufacturer save 10% on maintenance costs will be used to illustrate the strategy

Presented by:

Alessandro Chimera
Industry Consultant at TIBCO Software

Massimiliano Cassinelli
Scientific Director of BitMAT

Produced in collaboration with BitMAT Editions

Watch Webinar

To process your registration, TIBCO Software Inc. and TIBCO affiliates (collectively “TIBCO”) need to collect the below personal data from you. By registering for this TIBCO resource, you are consenting to TIBCO processing this data and contacting you by email, telephone, and/or social media with resource-related information.

TIBCO would also like to contact you by email, telephone, and/or social media regarding their products and services that may be of interest to you. Please indicate your consent to this use of your personal data below.

TIBCO may contact me regarding its products and services.

By proceeding you agree to TIBCO contacting you regarding their products and services that may be of interest to you.