OpenGov Asia is pleased to bring an exclusive Breakfast Insight that aims to provide the latest information on delivering an effective method to detail evidence and practical decision-making using Graph Databases. This is a closed-door, invitation-only, interactive session with top Indonesian government institutions.
Hours of Content
The Indonesian government has released a national strategy for Artificial Intelligence development in the form of a blueprint that will guide the country’s AI development between 2020 and 2045. This roadmap is in line with the government’s effort to seek advanced data interpretation solutions for decision making in areas such as law enforcement, finance and health care, among others.
Indonesia’s national Artificial Intelligence strategy consists of four primary focal areas – ethics and policy, talent development, infrastructure data and industrial research innovation. Under ethics and policy, the Indonesian government is concentrating on effective ways to enhance Anti-Money Laundering and Counter-Terrorist Financing initiatives to improve governance and compliance.
Graph Databases technology has been the fastest-growing technology in critical decision making and this technology will complement Indonesia’s national Artificial Intelligence strategy. By organising data in a graph format, Graph Databases functions can overcome big and complex data challenges that standard databases cannot solve that will speed up tracking and decision making.
Detecting and eradicating unethical behaviours with Graph Database technology has been eye-opening for governments throughout the world as it can detect unethical practices in real-time which allows tracking transactions with multiple functions and people proofing. Misappropriation of funds and corruption will be quickly detected and greatly reduced with this technology.
Government transitioning to a Graph Database technology
Converting and connecting data into a usable graph schema has become commonplace thanks to the growth of Graph Database technology and the simplicity of learning and application.
Fast screening to catch any unethical actions
A graph model greatly improves decision-making and fraud detection processes in government operations. Graph Databases solve problems that are both impractical and practical for relational queries. This tool speeds up reviewing information based on the algorithm written and quickly provides evidence and alternative solutions to make a decision quickly and effectively to mitigate all fraudulent activities.
Advantage of Real-Time information at scale for quick response
To combat unethical behaviour, Graph Databases provide quick modelling and advanced Machine Learning methods, which lead to better detection due to the interconnected data. Real-time graph analytics can help explore, identify and forecast complicated relationships to make more accurate judgments.
Exposure to the convenience of Multidimensional representation
Government can opt to track location and time using the Graph Database platform. This allows practitioners to weight edges to explicitly link entities that are close in location or time, which records time series data for fraud detection and raises the red flag.
OpenGovLive! Virtual Breakfast Insights are concise, to the point, strategic-level discussions designed to bring learning to the highest level! The unique proposition of an OpenGov Breakfast Insight is the integration of cutting-edge insights from our expert speakers and interactive discussion among the participants.
This unique session will present practical case studies of how a Graph Databases platform will enhance a government’s national strategy and will explore:
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This is a great way to share new knowledge in new normal. Very useful information and hope to attend next event
Financial and Development Supervisory Agency
It was a fruitful breakfast insight with lots of knowledge and discussion
I can hear good presentations from the experts from around the world and get better insights on the implementation of data analytic tools for improving the government services for public
Ministry of Research and Technology
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