利用数据和人工智能改造政府：新加坡政府科技公司与 Databricks 的合作历程.pdf

1、Transforming Government with Data and AI:GovTech Singapores Journey with DatabricksSachin TonkDeputy Chief Data OfficerChief Data OfficeGovernment Technology Agency of SingaporeDateWho is GovTech?3Driving Singapores Smart Nation&Digital Government Our Data Strategy4Service Model ApproachAdvanced Ana

2、lytics as a Service(AdaaS)3Divisions:Open to exploratory use cases that involve predictive,ML/AIData as a Service(DaaS)1Divisions:To provide clear use cases To leverage data discovery tool for better data managementInsight as a Service(IaaS)2Divisions:To provide clear use cases for partnership To le

3、verage on infra&cap dev offerings for self-service analyticsData Mesh4Divisions:Take Data Domain Ownership&be committed towards Data MeshKey Thrusts organised into a Service Model Approach to continue to deliver the Data StrategyOur Medallion Architecture5Key Pillars:Governance,Scalability,Democrati

4、sationFive-tiered data architecture for our data processingBronze and Mart layers are implemented on-demandOur DataOps Approach6Key Pillars:Governance,Scalability,DemocratisationData Strategy Value Proposition7Although Applied Data shows the greatest potential and likewise value to customers,it also

5、 has the longest time to value.Data as a ServiceInsight as a ServiceAdvanced Analytics as a Service Enriched dataTransformed dataApplied dataData potentialValue proposition-+Value impact to customersValue impact,time to value,reachThe key pillars of our Data Strategy vary by level of value impact to

6、 customers,data analytics&business sophistication,and data potential.CDO Data Factory8Serving data through a“data restaurant”concept9Data Marts(buffet line)Data Assets(hotpot)Data Products(Michelin menu)EmployeeMasterProduct MasterFinance MasterBudget TrackerHR PitstopProduct 360G2E DashboardCompete