• Start Time:
    02:30PM
  • End Time:
    03:10PM
  • 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.

Associated Speakers:

Anes Hodžić

VP | Head of IoT | Digital Transformation Officer

Airbus

Associated Talks:

02:30PM - Day 1

View Panel: Predictive Maintenance – How to Unlock True ‘Actionable Insight’

09:50AM - Day 1

View What does IIoT mean for Aerospace and how can we make it fly?

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Mike Fay

Business Development Manager, IoT & Embedded Computing Group

Dell Technologies

Associated Talks:

02:30PM - Day 1

View Panel: Predictive Maintenance – How to Unlock True ‘Actionable Insight’

12:30PM - Day 1

View IoT Edge Computing; Managing your data

View Full Info

Sujatha Vaidyanathan

Senior Manager, Supply Chain and Operations Analytics

Accenture

Associated Talks:

02:30PM - Day 2

View Building Sustainable Asset Intelligence

02:30PM - Day 1

View Panel: Predictive Maintenance – How to Unlock True ‘Actionable Insight’

View Full Info