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DIHNAMIC

Webinar #6 – AI applied to quality control in production systems

In this latest episode of our Dihnamic webinar series, we focus on the benefits that new artificial intelligence technologies can bring to quality control in production systems.

This webinar is aimed at small and medium-sized industrial companies wishing to improve their efficiency. Poor quality control can lead to significant operational and financial costs. In this episode, Emmanuelle Abisset-Chavanne, University Professor at I2M Arts et Métiers and Vincent Van Steenbergen, CEO & Co-Founder of ThinkDeep AI, will highlight the contribution of AI technologies to improving quality control in production systems.

In the first part, Emmanuelle Abisset-Chavanne will provide an overview of the uses of AI in quality control. In order to tackle artificial intelligence, you need to be interested in data management. We’ll be talking about deep-learning and machine learning. Emmanuelle will conclude with a review of the advantages/disadvantages of integrating artificial intelligence technologies into production systems.

For the second part of this webinar, Vincent Van Steenbergen takes over to present the challenges facing AI in quality control.

“It’s not enough to say, “I’m going to deploy artificial intelligence in my company!” You’ll waste time and money. You need to take the time to define your needs precisely, and surround yourself with business experts.” – Emmanuelle Abisset-Chavanne

A webinar recorded on July 10, 2023

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Contact

In case you are interested in Dihnamic, you want to join it or you have any question, do not hesitate to contact us!

Want to contact the project coordinator? Contact :

Véronique DESBLEDS & Maria EL JAOUDI (ADI Nouvelle-Aquitaine)

contact@dev.dihnamic.eu
Tel. +33 (0)6 71 19 79 27
Are you a company ? Contact :

Marianne CHAMI (CEA)

marianne.chami.EDIH@cea.fr
Tel. +33 (0)6 47 94 60 77
Are you a journalist ? Contact :

Claire BOUCHAREISSAS (ADI Nouvelle-Aquitaine)

c.bouchareissas@adi-na.fr
Tel. +33 (0)6 82 36 76 36
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