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Common data models are the next step in digitalisation, but is the rail sector ready for it?

Railway works, image: SNCF Reseau / Jean-Jacques d'Angelo
source: SNCF Reseau 2021, SNCF Reseau

Rail infrastructure projects can benefit greatly by using Common Data Environments in combination with artificial intelligence (AI) and machine learning. In a webinar with Oracle Construction and Engineering, it was discussed how a CDE can be used and what role AI can play to anticipate risks in a project.

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Author: Esther Geerts

Former Editor RailTech.com

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Common data models are the next step in digitalisation, but is the rail sector ready for it? | RailTech.com
Partner article

Common data models are the next step in digitalisation, but is the rail sector ready for it?

Railway works, image: SNCF Reseau / Jean-Jacques d'Angelo
source: SNCF Reseau 2021, SNCF Reseau

Rail infrastructure projects can benefit greatly by using Common Data Environments in combination with artificial intelligence (AI) and machine learning. In a webinar with Oracle Construction and Engineering, it was discussed how a CDE can be used and what role AI can play to anticipate risks in a project.

Want to read more?

Subscribe now!

Take advantage of our exclusive offer to get full access to all premium content.

See the offer

Author: Esther Geerts

Former Editor RailTech.com

Add your comment

characters remaining.

Log in through one of the following social media partners to comment.