Senseye and the Challenges of Offline Data- with Dr. Natalie Kurgan

Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – the platform which enables predictive
maintenance at scale across all of your assets, across all of your
plants. For this session, we were joined by Dr Natalie Kurgan, to
discuss Problems with offline data analysis. Liz Maginn and Dr.
Natalie Kurgan discuss the challenges of using offline data with
Senseye Predictive Maintenance. Prove Senseye with Live Data
and get real results during the trail Senseye is a tool that
works with your data and you to improve maintenanceSenseye is
looking towards the future and preventing failures not looking
towards the past to prove why a failure happenedTouches on data
quality and the process of integrating SenseyePlease subscribe via
your selected podcast provider to be notified about future
episodes.You can find out more about how Senseye Predictive
Maintenance can reduce unplanned downtime and contribute towards
improved sustainability within your manufacturing plants, by
visiting: www.siemens.com/senseye-predictive-maintenance