It is expected that asset intensive industries – including utilities - will gain huge benefits when applying predictive algorithms and machine learning capabilities to optimize their maintenance strategy. The performant analysis of big data allows a predictive maintenance approach for all relevant assets on a very granular and up-to-date data basis. On the other hand it has shown, that it is not easy to identify the most promising use cases and asset classes and actually realize the expected benefits. How can this challenge be addressed?
Design thinking has proven to be very successful to solve these kind of challenges involving a group of people from different companies, departments and a heterogenous background. During the
International SAP Conference for Utilities in Lisbon we will therefore jointly investigate the predictive maintenance potential in the utility industry by using a Design Thinking approach. In the workshop
Investigate the Potential of Advanced Maintenance you will not only learn and discuss how to improve your maintenance strategy, but you will also experience how Design Thinking can help your company innovate.
