GTR 96816099
Tenders Are Invited For Machine Learning - Øraker School And Ryen Helsehus
ICB — International Competitive Bid
Closed
Northern Europe
Tender Information
GTR Reference
96816099
Tendering Authority
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Tender No
2025-107777
Financer Name
Self-Funded
Work Title
Tenders Are Invited For Machine Learning - Øraker School And Ryen Helsehus
Bid Type
ICB — International Competitive Bid
Country
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Geographical Region
Northern Europe
Last Date of Bid Submission
18-06-2025
Closed
Work Detail
Machine Learning - Øraker School And Ryen Helsehus . Oslobygg Kf (Obf) (Hereafter Called The Customer) Is The Oslo Municipalitys Property Company, And One Of The Countrys Largest Builder And Property Manager. Oslobygg Kf Has Approx. 2.7 Million Square Meters Of Property And Over 650 Employees. One Of The Main Areas Of The Digital Road Map Is To Renew, Simplify And Develop New And Smarter Ways Of Working. Artificial Intelligence And Available Ot Data Are Two Areas That Are Central To The Digital Road Map. With This Project, Oslobygg Wants To Test Out Different Technologies And Suppliers For Machine Learning Of Sd Systems For Two Different Buildings In The Oslo-Dwelling Portfolio, And Be Able To Assess Any Further Roll-Out Of Machine Learning For Sd Systems In Oslobygg. Oslobygg Has About 600 Employees, Where Less Than Half Work On Development And Maintenance Projects. There Will Be Few Contemporary Users At All Times, And The Number Of Active Users Will Limit Themselves To 10-20.
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