Government & Public SectorMachine LearningPublic Cloud

Modernizing public services through citizen-first innovation

Central Provident Fund Board· SingaporeAzure Databricks · Databricks Notebooks · Databricks Assistant +5

Singapore's Central Provident Fund Board built a Unified Data Platform on Azure Databricks to replace a limited on-premises data warehouse, training over 300 users on Databricks Notebooks and Databricks Assistant for collaborative analytics and machine learning, deployed on Singapore's Government Commercial Cloud 2.0 for public services supporting more than 4 million members.

Overview

Singapore's Central Provident Fund Board built a Unified Data Platform on Azure Databricks to replace a limited on-premises data warehouse, training over 300 users on Databricks Notebooks and Databricks Assistant for collaborative analytics and machine learning, deployed on Singapore's Government Commercial Cloud 2.0 for public services supporting more than 4 million members.

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The challenge

As data demands grew, CPFB's on-premises data warehouse limited performance and scalability: users had to download data to local machines through multiple layers of approval, and analysis was often performed with limited computing power on desktops or laptops, creating security concerns and forcing requests for additional laptops.

The solution

CPFB built a Unified Data Platform (UDP) on Azure Databricks, training more than 300 users through a train-the-trainer model, adopting Databricks Notebooks for collaborative analytics and Databricks Assistant as an AI-powered coding companion, deployed on Singapore's Government Commercial Cloud 2.0 with Microsoft Purview used to establish governance policies.

Machine LearningGenerative AI

Reported business value

Report generation became faster and more automated, with simple reports generated in minutes and complex ones scheduled to run overnight, and machine learning models can now be developed, trained, fine-tuned and deployed securely on a single platform.

Sources

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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.)

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