Institution of Mechanical Engineers, London
Free and open to all
New technologies are the key to helping companies weather a perfect storm of increasing demand, falling revenues and climate change safely. Companies are looking to digitally-enabled real-time decision making, AI and machine learning to ensure predictive performance insights, and resilience across their asset base.
Attend this lecture to learn more about the implementation of Industry 4.0, the fourth Industrial Revolution, of cyber-physical systems:
- Diagnostic analytics - condition, performance and uptime monitoring of the health of assets
- Dynamic Preventative Maintenance - preventing failures before they occur by using intelligent predictions and dynamic maintenance planning
- Prognostic Maintenance interventions - using machine learning, pattern recognition and advanced analytics to optimise, manage and deliver interventions
18:00 - Lecture Programme
18:00 - Registration and refreshments
18:30 - Lecture to commence
19:10 - Q&A session
19:30 - Lecture concludes
Chris Steele: Head of Information Management & Analytics, Water Europe, Black & Veatch
Chris has 15 years of asset management experience across regulated and nonregulated water, energy and waste sectors. He has a wealth of experience in practical implementations of analytical solutions and technologies that deliver tangible benefits. Chris’ foundations in operations and maintenance combined with his passion for nurturing new ideas, and finding the right technologies to sustainably deliver them, has brought him to manage a team of data scientists, software developers and asset reliability engineers. In today’s evolving world of asset management, this diverse group of disciplines seems more complimentary than ever before in optimising the asset lifecycle.
Bookings via your online account are currently unavailable. We are working to restore this as soon as we can.
To book a place at this event, please use the online booking form instead.
Apologies for the inconvenience caused.
Booking multiple tickets or on behalf of someone else? Please email email@example.com or call +44 (0)207 973 1251.