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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 their cost of operations. The SAP Predictive Maintenance and Service solution ensures that our Enterprise Asset Management portfolio is capable in the new world of Industry 4.0. Please join us for this interesting enablement session.



Stephan Koenig

Stephan Koenig,


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Location and Time

Learn and discuss in our web meeting, 09:00 - 10:00


Logistikk, Vår kunnskapsdeling


Number of participants: 36

Person Company
Eva-Maria Fahrer Adfahrer AB
Sture Aspås AkerBP
Rune Folstad AkerBP
Anders Nystøl AkerBP
Holgeir Stabell AkerBP
Gertjan Ophoff Akselera
Christian Brandtzæg Bouvet
Eirik Jan Kroken Bouvet as
Helge Eik Capgemini Norge
Ilya Amosov Ciber Norge AS
Ilya Amosov Ciber Norge AS
Frank Otto Frantzen ConocoPhillips
Helge Mørk Conocophillips
Bjorn Vilhjalmsson Deloitte
Ellinor Hoemsnes Equinor
Grete Randi Totland Equinor
Grete Randi Totland Equinor
Ramesh Vadamalayan Equinor
Even Østgulen Equinor
Øyvind Melhus Equinor ASA
Geir Sigmund Osmundsen Torgersen Equinor ASA
Matteo Vivian Horsa
Gautam Sapre IBM
Grethe Byrkjedal Lyse Elnett
Vineeth Varghese Matiq
Stephan Koenig SAP SE
Annabelle Roux SAP Tackle
Derek Cromwell SAPTackle
Bernt Bakken SBN - Adfahrer Norway
Odd Rune Snahre Statoil
Guillaume Fagernes-Turpin Statoil ASA
Arne Gjerstad Statoil ASA
Anandh Kannusamy TCS
Terje Skobba Takeda
Terje Skobba Takeda
Ann Magritt Carlsen TechnipFMC
Sverige (Hovedkontor)

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