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

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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

[Christine4]

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