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