Graph technology is optimized for hyper-connection and quick analysis of scattered data.
No matter how entangled the data are, the graph succeeds in extracting intuitive insights from complex relationships.
Hyper-Connection®
CASE STUDIES
Knowledge Graph in Manpower Matching System
In order to manage ever-increasing data effectively and efficiently, the Center for International Development (CID) of the Korea Development Institute (KDI) established an advanced knowledge management system with Bitnine’s AgensGraph. Reinforced with an optimal graph query language, visualization tool, and graph algorithms, the knowledge graph elevated the value of data and evolved the knowledge management system to another level. The newly built manpower matching system intuitively connected relationships between various data accumulated during overseas projects that KDI experts have participated in.
Compound Management System
Company L moved forward with its technology to acquire the right material for its cable products. To compete with other insulated cable manufacturing companies, Company L set a goal to reduce overall production time and money, and hold tests with utmost precision. With that in mind, Company L applied AgensGraph and several machine learning techniques to complete their Insulation Material Prescription System.
Master Data Management
Like many other research institutes, B institute had failed to secure the infrastructure required for effective utilization of standardized and integrated research data, and this had led to organization-wide inefficiencies. Bitnine provided a graph DB platform that could manage and analyze structured and unstructured data, while also utilizing research data quickly and easily. With the Master Data Management solution, every member of B Institute acquired a clear understanding of data, which allowed them to carry out their work more efficiently, rediscover values that were unknown before, and capitalize on critical information on a web platform in a timely manner.
Performance Management System
Coupled with graph visualization and reporting tools, the newly built business performance management platform provided clear communication between the departments and helped drive up organizational efficiency. Thanks to the enhanced collaborative performance indicator management system, Company F was able to prevent process issues, increase its product quality, and achieve technological innovations in its industry.
XAI Drug Development Solution with Knowledge Graph
The biodata market is currently in need of AI technology with decision support tools. The knowledge graph, as experimented with AgensGraph, provides visuals of processes and results in a network of data, which can be used as references when making important decisions. Applying a knowledge graph will not only add explainability to an AI but is also expected to reduce the time and effort of drug development.
