• 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:

Nick Miesen

Interim Change Manager (Master Black Belt)

Air France - KLM

Associated Talks:

02:30PM - Day 1

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

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Mark Schmidt

Senior Manager, Manufacturing Industry GTM, EMEA

Salesforce

Associated Talks:

02:30PM - Day 1

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

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Sak Nayagam

Head of Alliances & Channels - Digital Oil & Gas

Baker Hughes, a GE company

Associated Talks:

12:30PM - Day 1

View Case Study: Baker Hughes – POWERED BY DIGITAL – Accelerating the low-carbon energy transition

02:30PM - Day 1

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

View Full Info

Dejan Rasuo

Director, Global Strategic IOT Alliances, Microelectronics & OEM

Tata Communications

Associated Talks:

02:30PM - Day 1

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

View Full Info