What’s keeping data-driven APM from having an impact?

Asset performance management practitioners still haven’t cracked the code for how to use data and analytics to improve reliability and performance. In this session, we’ll share our perspective on where to focus in order to adopt consistent, scalable analytics and practices and take advantage of generative AI.

Monitoring asset health, performing root cause analysis, and doing on-the-fly troubleshooting continues to be a complex process for experts and new engineers. In this session, we’ll show how to optimize the gathering and analysis of this complex data so that you can improve the confidence of your asset health program.

Gathering and sharing relevant information for planned maintenance activities continues to be a challenge due to manual processes and a wide variety of data types. In this session, we’ll discuss how you can more effectively collaborate across teams to build better maintenance plans with data and industrial generative AI.