GoldenEarth Standardizes Engineering Expertise Through AI Processes, Innovates Data Integration Development Framework
TECHWORLD ·
✦ AI Summary
GoldenEarth specializes in real-time data linkage between DBs, consistency verification, and replication operations monitoring.
The research institute is converting development know-how that depends on engineers' experience into product specifications, work instructions, test items, verification results, and issue histories, and structuring the entire development cycle into a linked process.
AI handles code and configuration generation, test execution, and failure-cause analysis, while specialist engineers focus on design, judgment, quality management, and risk control.
In the data integration field, support for a new DBMS requires procedures for design, implementation, functional testing, consistency verification, and manual preparation, and those steps must be carried out continuously. The conventional development method has relied on the experience of skilled engineers and repetitive work, and GoldenEarth has begun improving that structure. GoldenEarth CEO is Park Jong-myung.
GoldenEarth specializes in real-time data linkage between DBs, consistency verification, and replication operations monitoring, and develops and supplies OEA-Platform (OGG extension adapter), SyncMaster-Checker, and SyncMaster-Monitor as in-house solutions. It has carried out data integration projects for many major conglomerates, leading companies, and financial institutions in the finance, manufacturing, public, and service sectors, and has also secured evidence of its technological capabilities through selection for the Early-Stage Startup Package, designation as a startup university, and certification of a corporate-affiliated research institute.
GoldenEarth's research institute is converting development know-how that depends on individual engineers' experience into product specifications, work instructions, test items, verification results, and issue histories, while advancing the structuring of the linked process across the entire development cycle, from product specifications and work instructions to change management, testing, results reporting, and issue tracking. The key point in this process is not giving broad instructions to AI, but explicitly processizing development knowledge and procedures, and the purpose of that explicit processization is to ensure AI's stable participation.
On this foundation, AI handles code and configuration generation based on process knowledge, test execution, and failure-cause analysis, while specialist engineers focus on design, judgment, quality management, and risk control. GoldenEarth places higher value on standardization and reproducibility of work than on shortening development time in the short term, and aims to turn tasks that depend on a specific developer's experience into traceable, repeatable processes.
GoldenEarth is expanding the AI collaborative process jointly built by its research institute and specialists in the data integration field beyond internal research to customer deployment sites and technical support operations. This AI collaborative process is being applied to the enhancement of OEA-Platform, as well as to the enhancement of SyncMaster-Checker and SyncMaster-Monitor.
The AI collaborative process is also being applied to the development of next-generation AI products and services in the data migration field, next-generation AI products and services in the consistency verification field, and next-generation AI products and services in the operations field. CEO Park Jong-myung said that GoldenEarth's AX is not about leaving work to AI, but about shifting to a process in which data integration expertise is carried out jointly by AI and engineers, adding that the company plans to expand the process technology established at its research institute into customer deployments, operations, and future products and services.
Source: TECHWORLD · Kim Gyeong-ju
Original: https://www.epnc.co.kr/news/articleView.html?idxno=406414
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Source: TECHWORLD
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