Machine Learning and Industry 4: The New Predictive Maintenance

Anticipate problems and act in real time before they happen

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

要处理您的注册,TIBCO Software Inc.和 TIBCO附属公司 (统称“TIBCO”)需要收集以下您的个人信息。通过注册TIBCO 资源, 即表示您同意TIBCO处理此信息并通过电子邮件,电话和/或社交媒体与 资源相关的信息与您联系。

TIBCO希望通过电子邮件,电话和/或社交媒体与您联系,了解您可能感兴趣的产品和服务。请在下面表明您同意我们使用您的个人信息。

TIBCO可就其产品和服务与我联系。