When it comes to running a successful business, every organization strives to find the most efficient strategy possible. With that being said, it’s important that businesses pick a technique that is reliable and effective as well, especially when dealing with high valued assets.
Condition-Based Monitoring (CBM) can provide timely intervention which can significantly increase the lifetime and operational efficiency of high valued assets. It can be the first step to get meaningful analytics on vast amount of data generated across supply chains and support AI based models to derive value from the data and add analytical maturity. In this latest Data Science Central webinar, Priya Sharma and Paul Venditti will discuss real-world applications of analytical techniques to support condition-based monitoring use cases.
Understand the importance of operational efficiency
Gain access to the latest SAS Event Stream Processing trial, including data sets and pre-loaded projects
Learn about real-world applications of analytics techniques to support Condition-based Monitoring use cases
Priya Sharma, Sr. Data Scientist - SAS Institute
Paul Venditti, IoT Principal Industry Consultant - SAS Institute
Rafael Knuth, Contributing Editor - Data Science Central