Government & Public SectorMachine LearningHybrid

Kadaster runs Azure Local to keep sovereign control over the Netherlands' land registry data

Kadaster· NetherlandsAzure Local · Microsoft Sovereign Private Cloud

Kadaster, the Netherlands' official land registry and mapping agency, runs Microsoft Azure Local to maintain full control over where its data lives and how it is governed, as its workloads have grown in scale and complexity. Azure Local underpins Microsoft's Sovereign Private Cloud, which now scales to thousands of servers within a single sovereign environment.

Overview

Kadaster, the Netherlands' official land registry and mapping agency, runs Microsoft Azure Local to maintain full control over where its data lives and how it is governed, as its workloads have grown in scale and complexity. Azure Local underpins Microsoft's Sovereign Private Cloud, which now scales to thousands of servers within a single sovereign environment.

The challenge

As a government agency responsible for some of the Netherlands' most sensitive data, Kadaster needs infrastructure that gives it full control over where its data lives and how it is governed, especially as its workloads have grown in scale and complexity.

The solution

Kadaster runs Microsoft Azure Local, the foundation for Microsoft's Sovereign Private Cloud, which lets organizations run cloud-consistent infrastructure on hardware they own and operate within their sovereign boundary, across connected, intermittently connected or fully disconnected environments. Azure Local disconnected operations let customers apply policy enforcement, role-based access control, auditing and compliance configuration locally, regardless of public cloud connectivity.

Machine Learning

Reported business value

Azure Local has given Kadaster full control over where its data lives and how it's governed, providing a consistent foundation that has scaled alongside Kadaster's growing workloads, per General Manager Maarten van der Tol.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other government & public sector entries in the register.

All entries
Government & Public SectorIntelligent AutomationPublic Cloud

GovTech unlocks data insights to improve nationwide services with Databricks

Singapore's Government Technology Agency (GovTech) migrated from an on-premises dashboarding system to the Databricks Data + AI Platform on AWS with Unity Catalog and Delta Lake, cutting dashboard creation time from 90 to 30 days, democratizing data across 50% of corporate divisions in the first year, and saving 8,000 labor hours annually.

96/100HighPrimary source
GovTech· SingaporeDelta Lake · Lakeflow Connect · Lakeflow Jobs +1
Government & Public SectorConversational AIPublic Cloud

Estonia rolls out Bürokratt, an AI-guided virtual assistant network for public services

Bürokratt is a network of chatbots deployed on Estonian public sector institutions' websites, letting people obtain information from institutions and use public and information services via virtual assistants. It is a state-created, AI-based digital assistant that helps institutions deliver modern, efficient, around-the-clock customer service using large language models.

96/100HighPrimary source
Estonian Government (RIA - State Information System Authority)· EstoniaLarge Language Models (LLM) · Retrieval-Augmented Generation (RAG)
Government & Public SectorGenerative AIPublic Cloud

VA Advances Healthcare Insights With AI

The U.S. Department of Veterans Affairs leverages Databricks Data Intelligence to modernize healthcare analytics for millions of veterans, unifying massive distributed datasets into a single secure environment and streaming petabytes of health data in real time, reducing processes that once took hours to seconds. Databricks enables AI and large language models to detect risk early and enhance governance.

96/100HighPrimary source
U.S. Department of Veterans AffairsDatabricks
Government & Public SectorNatural Language ProcessingUnknown

Austrian Academy of Sciences unlocks Ancient Greek with Mistral

The Austrian Academy of Sciences (OeAW), together with its Austrian Archaeological Institute, partnered with Mistral and services partner Reply to build Apollo, described as the first advanced large language model for Ancient Greek. Apollo is trained on a specialized corpus of 600 million words of historical Greek text plus tens of thousands of published inscriptions and papyri, helping researchers reconstruct damaged texts and identify thematic connections across collections. The OeAW reports Apollo turns work that once took years into hours, addressing over one million unread Greek papyri worldwide, with future phases planned for semantic search and handwritten inscription decipherment.

92/100HighPrimary source
Austrian Academy of Sciences· AustriaMistral

Was this helpful?

Your feedback helps us improve our use case database