Optimizing Residual Heat Usage in Whey Processing

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Team NameTeam Notilyze & HAI
TrackTrack: Manufacturing
Use CaseOptimizing waste heat recovery in a whey processing factory to reduce the carbon footprint, by analyzing the factory data and creating smart business rules using SAS Viya.
TechnologySAS Viya, Machine Learning
RegionEMEA
Team leadJoep Bom
Team membersColin Nugteren @colinnugteren , Maud van der Zande @maudvdz , Henk Roelevink
Social media handleshttps://www.linkedin.com/in/joep-bom/ 
Is your team interested in participating in an interview?Y
Optional: Expand on your technology expertise 

 

Comments

Hello Team Notilyze & HAI!

 

Your Team Profile is looking good!

 

In order to be considered for the SAS Hackathon 2024, remember that each member of your team NEEDS to fill out/complete and submit a registration form for the SAS Hackathon 2024 event.

 

You can find the registration forms on the SAS Hackathon website - click the "Register Now" button.

 

Regards,

The SAS Hackathon Team

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Ready to join fellow brilliant minds for the SAS Hackathon?

Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.

Register today!