Predictive Maintenance Using Machine Learning and Engineering Simulations

When it comes to maintaining assets, companies today are increasingly shifting from simply executing the maintenance of their assets to instead managing the full life cycle of those assets. To attain this goal, asset health prediction and optimization is vital. Come hear how SAP customers are currently leveraging SAP solutions in this area. Learn about the key core capabilities leveraged in any predictive monitoring solution, including advanced analytics, machine learning for the masses, and physics-based engineering simulation.

 

Key Takeaways:

• Understand how SAP approaches predictive maintenance.
• Hear about customers executing on this approach.'
• Learn complementary emerging technologies such as analytics, machine learning, and engineering simulations.

Speaker

• Simon Lee, VP of Product Management, SAP Predictive Maintenance and Service