Asset Management Council

Webinar - CMMS and FRACAS: Unlocking the Value of Reliability Data (MRiAM 4 of 5)
2026-10-28 12:00 - 13:00 (Australia/Melbourne) | Online – Register to be sent your link
CMMS and FRACAS – Unlocking the Value of Reliability Data – Creating the Information Foundation for AI and Predictive Maintenance
Many organisations focus on advanced analytics while overlooking the importance of data quality and information structure. This session examines how to configure and utilise CMMS and FRACAS systems to capture meaningful reliability information, support effective analysis, and enable enhanced data mining. The webinar highlights why a robust information foundation is a critical prerequisite for successful AI/ML and predictive maintenance programs.
Presented by Jitesh Patel, Maintenance & Reliability in Asset Management Special Interest Group, Asset Management Council
Part four of the five-part Reliability Engineering Excellence webinar series.
Click here to register
This webinar can be attended as a standalone session, or join us for the full series as we progress from reliability fundamentals through to predictive maintenance and AI/ML. Register separately for each session you would like to attend.

Webinar - From Foundations to World Class: A Predictive Maintenance AI/ML Case Study (MRiAM 5 of 5)
2026-11-04 12:00 - 13:00
From Foundations to World Class – A Predictive Maintenance AI/ML Case Study
The final webinar brings the series together through a real-world case study demonstrating the implementation of AI and ML for predictive maintenance. Participants will see how a methodical approach to reliability engineering, data management, and asset management fundamentals can transform an organisation from humble beginnings to a high-performing, world-class reliability operation.
Presented by Shane Scriven, Maintenance & Reliability in Asset Management Special Interest Group, Asset Management Council
Part five of the five-part Reliability Engineering Excellence webinar series.
Click here to register
This webinar can be attended as a standalone session, or join us for the full series as we progress from reliability fundamentals through to predictive maintenance and AI/ML. Register separately for each session you would like to attend.
