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.

Speak­ers

Christo­pher MacLuck­ie, SAP Amer­i­ca

Time­stamps

• 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