Singapore government data strategy
Ìý
Singapore is one of the few smart nations in the world, placing digital transformation at the centre of every Government function. Specifically, data has been recognized by the Government as the fuel for digital transformation. Data sharing is key to becoming a data driven nation. Without a trustable and resilient data sharing framework, it’s not possible to bootstrap new initiatives and policies quickly.
Ìý
A good decentralized data sharing framework becomes very essential to engage citizens and private entities to contribute effectively to the nation. Download our white paper on how Data Mesh, a domain driven approach rooted in organizational change can support the Government's strategy on trusted data sharing.
Learn how to build a trusted data sharing framework using the Data Mesh Paradigm
Ìý
- Enabling domain oriented accountability, rich and interoperable data productsÌý
- Ensuring comprehensive lineage and quality standardsÌý
- Applying federated governance principles to strengthen the governance structures
- Exemplar reference architecture provided by AWSÌý
Ìý
Ìý
Featured insights
This whitepaper outlines the challenge of productionizing ML, explains some best practices, and presents solutions. ºÚÁÏÃÅ introduces the idea of MLOps as continuous delivery for machine learning. The rest of the whitepaper details solutions from AWS and other partners.
A key enabler of Nimble's brand promise of "Making Finance Faster" is the adoption and implementation of an industrialized ML capability. Find out more about their transformation.
Recommended content
-
ArticleCD4ML for building an intelligent enterpriseRead now -
WebinarLeveraging CD4ML to solve machine learning project implementation challengesListen now -
BlogGetting smart: Applying continuous delivery to data science to drive car salesRead now -
PodcastMachine learning in astrophysicsListen now
