- Tram Ho
The Ministry of Finance will test the application of artificial intelligence technology and big data in the field of tax and customs to solve complex business problems such as risk management or tax fraud prevention …
Financial industry data architecture model. Photo: Mof.gov.vn
The Ministry of Finance has just issued the National Database of Finance Architecture. Accordingly, in the period of 2019-2022, artificial intelligence technology (AI) and big data (Big data) will be tested and applied in the field of tax and customs to solve business problems. complex.
According to the news portal of the Ministry of Finance, the National Database of Finance has been issued to plan, build and develop components of the National Database of Finance in a system of Best. At the same time, key principles will be put in place to ensure the coherence, integration, ability to connect, share information and data between units in the Finance industry and between the Ministry of Finance and agencies. agencies, organizations and individuals outside the financial sector.
The overall architectural model of the National Database of Finance includes classes that perform functions from source data provisioning, integration, acquisition, standardization, storage, analysis, and visualization. Data aggregation from sources, to the distribution of data use effectively, safely, quality control and uniformity of data.
The National Database of Finance architecture will support the development of the e-Government of the Finance sector, towards building Digital Finance based on large data and open data. The National Database of Finance architecture will create a foundation for the Finance industry to approach, take an active role, create and lead the transition to modern Digital Finance in Vietnam.
This is also the basis for units under the Ministry of Finance to build and develop the national financial information and data system to ensure uniformity, limit duplication, save costs and time. deployment. Investment information, data and technology infrastructure systems are inherited and reused; enhance the ability to monitor and evaluate investment efficiency. Improving flexibility when building and deploying specialized databases and national databases on finance in accordance with international practices, practices in Vietnam and the Ministry of Finance.
In order to implement the National Database of Finance, the Ministry of Finance has developed a two-stage roadmap, with key objectives based on key elements of human resources, data, technology and mechanisms. , policy.
Accordingly, the first phase from 2019-2022 will be prepared in terms of institutions, policies and infrastructure to build the National Database of Finance under Data Hub architecture. Aggregate Finance data capable of providing output are types of reports, Dashboard, forecast KPIs on state financial management and continue to expand on financial market management data topics. , insurrance…
During this period, the Ministry of Finance will test the application of artificial intelligence technology and big data in the field of tax and customs to solve complex business problems such as risk management and fraud prevention. tax … From which, the experience of deploying and developing human resources is ready to be applied in all fields under the management of the Ministry of Finance.
Phase 2 from 2023-2025, the National Database of Finance is expanded with input data being semi-structured data or unstructured data. Applying artificial intelligence technology, machine learning in processing large data into solving complex problems related to many groups, professional lines such as forecasting budget revenue, managing risks with market evidence contract, insurance market.
This stage requires the preparation of resources, analytical and data models as well as a team of data science experts and experts in each field to ensure the construction of a highly effective model. in fact.
The National Database of Finance architecture will be updated and adjusted in accordance with the actual conditions in each period, ensuring the ability to expand features and control for the architectural model.
Source : ictnews