One of the high value use cases for the Internet of Things is in the area of predictive maintenance.  With SAP Predictive Maintenance and Service, asset manufacturers and operators can leverage a data science driven approach to condition monitoring that will significantly improve the availability of their assets and reduce cost of operations.  During this session we will explore the new SAP Intelligent Asset Management strategy and how SAP Predictive Maintenance and Service contributes to the end to end asset management processes.  In addition to this, we will review newly delivered features of the solution and discuss our roadmap priorities for the coming quarters.  Please join us for this important update session.


Christopher MacLuckie, SAP America


  • 0:00 – ASUG announcements
  • 3:20 – EAM Community information and speaker introduction
  • 5:30 – Agenda overview
  • 7:00 – The intelligent enterprise (the foundation of a digital supply chain)
  • 8:40 – Digital supply chain (digitally connected product lifecycle)
  • 9:15 – The physical asset and the digital twin
  • 10:35 – SAP Intelligent Asset Management
  • 17:00 – Asset central foundation for all design, build, and support processes
  • 19:00 – SAP Predictive Maintenance and Service (PdMS)
  • 21:10 – Data science driven predictive maintenance
  • 22:20 – SAP PdMS: core capabilities
  • 24:15 – SAP PdMS: a 360-degree view of assets, i.e. a digital twin
  • 27:00 – SAP PdMS: advanced analytics for decision support
  • 33:20 – SAP PdMS: intuitive and scalable machine learning
  • 38:00 – SAP PdMS: E2E process integration
  • 41:00 – Customer example: train operator
  • 44:45 – Customer example: compressor manufacturer
  • 45:50 – Customer example: industrial equipment manufacturer
  • 46:35 – Q&A

Want to watch this webcast? Become a member and get access to all ASUG benefits including news, resources, webcasts, chapter events, and much more!

Learn more

Already an ASUG member? Log in to watch