Procurement Summary
Country : Finland
Summary : Prior Information Notice: Monitoring Service
Deadline : 02 May 2025
Other Information
Notice Type : Tender
TOT Ref.No.: 116363622
Document Ref. No. : 175259-2025
Financier : Self Financed
Purchaser Ownership : Public
Tender Value : Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Statistics Finland is acquiring a cloud-based Machine Learning (ML) monitoring service to enhance trust and reliability in its machine learning operations. This service will complement an existing ML platform built on Azure Databricks. Objectives: Actively identify and manage degradation in ML models, ensuring high-quality and trustworthy outputs for official statistics. Support a growing community of internal users in their daily work, including statistics experts with varying levels of ML and data science experience. The service should either integrate directly with our existing Azure environment or, alternatively, be set up as a separate service within our own Azure tenant. In either case, the solution must ensure that no data leaves the desired geographic region (EU) and that all data security and protection requirements for potentially sensitive data are fully addressed. Scope of Acquisition: Licensing for a cloud-based ML monitoring service capable of initially supporting approximately 10 machine learning models, with scalability to accommodate an increasing number of models over time. Technical support and expert training for efficient platform use. Tools and metrics for: - comparing model predictions with realized ground truth results across a variety of ML problems (e.g. classification, regression) - monitoring various types of drifts in input data (e.g. covariate drift, concept drift, novel values) - evaluating model performance even in the absence of ground truth M...
Document Type: Prior Information Notice
Reference Number: TK/601/02.01.01/2025
Contract Type: services
Authority Type: cga
Doc Title: Prior Information Notice: Monitoring service
Dispatch Date: 2025-03-17
Publish Date: 2025-03-18
Submission Date: 2025-05-02
Documents
Tender Notice