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Team Notilyze & HAI: Optimizing Residual Heat Usage in Whey Processing Factory

Started ‎08-06-2024 by
Modified ‎10-19-2024 by
Views 1,578
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Team Name Team Notilyze & HAI
Track Track: Manufacturing
Use Case Optimizing 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.
Technology SAS Viya, Machine Learning
Region EMEA
Team lead Joep Bom @JoepBom 
Team members Colin Nugteren @colinnugteren , Maud van der Zande @maudvdz , Henk Roelevink @HROELEVINK 
Social media handles https://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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Last update:
‎10-19-2024 01:51 AM
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