WEBINAR: Eliminate Unplanned Downtime with AI-Engineered Predictive Maintenance
Learn how Panasonic built and scaled their predictive maintenance solution, resulting in more than $25M-saving within the first year.
This webinar will cover a proven approach that helps you speed up AI-engineered system implementation. Learn how global OEM Panasonic built and scaled their predictive maintenance solution, resulting in more than $25M-saving within the first year.
"Minimizing unplanned downtime" — is the consistent response from manufacturers when asked what would make the most impact on their organizations.
AI-Engineered Predictive Maintenance allows you to reduce downtime (as well as enhance safety, reduce costs by up to 40%, eliminate disruption and double asset lifetime!) Yet most OEMs still struggle to capture the significant predictive maintenance offers due to:
- Not having the right data
- Too much focus on lab AI/Machine Learning models that can't scale to production
- Lack of continuous alignment with the business unit and the AI system implementation team (data science and software engineer/IT teams included)
This webinar will take an in depth look at how to accelerate an AI-engineered system implementation with a case study from global OEM Panasonic. Learn how they built and scaled predictive maintenance, resulting in a $25M plus saving within the first year.
Join us for this exclusive webinar on October 28th and discover:
- How to build and implement AI-engineered Predictive Maintenance when you’re short on data
- Best practices when implementing an AI-engineered predictive maintenance approach, from ideas to business-driven results
- How to Identify and inform equipment faults weeks in advance
Introducing your webinar leader:
Christopher Nguyen
CEO & Founder
Aitomatic
Bio: Christopher Nguyen is CEO and Founder of Aitomatic, the Industrial AI App Engine. Before that, he led AI engineering and science teams for Industrial-IoT across Panasonic’s global footprint. Christopher has served as engineering director of Google Apps and co-founded three successful startups. As a professor, Christopher co-founded the Computer Engineering program at HKUST. He earned his B.S. degree from the University of California-Berkeley summa cum laude and a PhD. from Stanford.
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