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How to implement predictive maintenance using artificial intelligence

27 February 2024

Join the Festo live webinar on Tue 19 March at 10am. 

Designing and building machines that provide end users with improved overall equipment effectiveness and increased productivity. 

Whilst artificial intelligence offers the potential to predict component failure, reduce unplanned downtime, and enable a preventative maintenance approach, it is not always clear how best to implement this technology.

This webinar aims to demystify industrial AI with a step-by-step explanation:

• What is industrial AI?
• Why use AI and how it can contribute to the efficient deployment of people and assets?
• How do you use industrial AI to improve efficiency & quality and reduce downtime?

We will address a fundamental choice facing OEMs: whether to develop their own AI tools, or source them from a supplier; and look at the pros and cons of each option. 

The webinar will conclude with an explanation and demonstration of the latest AI-based tools from Festo, and how to integrate them into your new and existing machines. 

Join this 45-minute webinar to learn more about industrial AI and take the opportunity to ask our experts questions.
This webinar is ideal for design and controls engineers in OEMs, as well as production and maintenance engineers in end-users / manufacturers looking to use artificial intelligence to improve machine reliability and increase overall OEE.

If you are unable to attend the live webinar, please still register and you will be sent a link to the recording. 

Our presenters: 
Sebastian Werler is a Product Manager for Digital Business responsible for bringing digital added-value solutions to the market that enhance the Festo hardware product range with Industrial AI Solutions. A computer scientist by profession, Sebastian enjoys converging the latest machine learning technology with Festo’s manufacturing and automation know-how. 

Peter Potters is a Product Manager for pneumatic motion, functional actuators and vacuum. He is motivated by finding the right solution for customers and the variety of application challenges. He enjoys problem solving using engineering tools to make machine designs more efficient and sustainable. 

Click here to register: 

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