• Start Time:
    02:50PM
  • End Time:
    03:30PM
  • Day:
    Day 1

Talk:

  • 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.