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AUCKLAND TRANSPORT has floated a tender for Data Science Machine Learning Platform. The project location is New Zealand and the tender is closing on 17 Jan 2022. The tender notice number is 708-22-418-BT, while the TOT Ref Number is 62010377. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country : New Zealand
Summary : Data Science Machine Learning Platform
Deadline : 17 Jan 2022
Other Information
Notice Type : Tender
TOT Ref.No.: 62010377
Document Ref. No. : 708-22-418-BT
Financier : Self Financed
Purchaser Ownership : Public
Tender Value : Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Notice of Information (Advance Notice) (NOI) for Advance Notice - Data Science Machine Learning Platform.
Open Date: Friday, 17 December 2021 4:00 PM (Pacific/Auckland UTC+13:00)
Close Date: Monday, 17 January 2022 5:00 PM (Pacific/Auckland UTC+13:00)
Tender Type: Notice of Information (Advance Notice) (NOI)
Tender Coverage: Sole Agency
Regions: Auckland
Required Pre-qualifications: None
Overview:
Advance notice only.
The purpose of this advance notice is to inform the supply market about an upcoming Auckland Transport Registration of Interest (ROI) seeking suppliers of Data Science Machine Learning software solutions.
Data Science Machine Learning is a branch of artificial intelligence focused on using data and algorithms for use in machine learning models. This will enable Auckland Transport to leverage advanced analytics and uncover insights from the data held by the business.
Auckland Transport is looking for a machine learning platform that based on data science best practice methods, will promote a modernised data ecosystem, has an infrastructure that is highly efficient and will allow the business to optimise big data, amongst other things.
Auckland Transport intend to publish the ROI to the open market via GETS in January 2022. Participants will be required to meet preconditions and other requirements. Further details will be made available in the ROI documents in January 2022.
Documents
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