Manufacturing 4.0: Improving maintenance with AI
Manufacturers are increasingly using deep learning and artificial intelligence to oversee routine maintenance and prevent faults in their machinery. What can we learn from these industrial applications and how will they evolve over the next few years? In what ways will these technologies help asset and risk managers make better decisions as risks in maintenance systems evolve? Join the webinar for the answer to these questions and more.
| Date | 6 Mar 2019 |
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| Location | Online webinar Click to open Google Maps |
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Overview
In the brave new world of artificial intelligence and deep learning, there are new risks and opportunities that come from insuring predictive maintenance systems in manufacturing industry. However the technology opens the door to new questions: How can companies save costs when buying a predictive maintenance system? Will AI end the role of engineers? And how can we support clients who want to adopt such systems? Watch the second in the Swiss Re Institute Spotlights webinar series produced with Swiss Re Corporate Solutions, where these topics were covered by leading experts.
Read the presentation slides by the speakers below
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Deep learning and artificial intelligence for predictive maintenance applications |
Olga Fink, SNSF Professor for Intelligent Maintenance Systems, ETH Zurich |
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André Kreul, Senior Risk Engineer Property, Swiss Re Corporate Solutions |
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Speakers
Daniel Andris
André Kreul
