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    Day 1


  • Exploring the technology available for condition monitoring and predictive maintenance across industry, from maintaining wind turbines to services elevators.
  • Are we moving from reactive to predictive maintenance, and what role can machine learning play here? What about fixing problems remotely?
  • The potential benefits for business innovation and strategy of implementing IoT for maintenance, and what is holding industries back here?
  • Discussing the impact that data models used for predictive maintenance have on field services, and the need for feedback loops to continually refine them.