BI Matrix's new business achievements in next-generation data analysis solutions based on generative artificial intelligence (AI) are gaining momentum. BI Matrix announced on the 22nd that it has secured the 'Lotte Capital Conversational Data Analysis System Construction Project.' This project primarily involves supplying the generative AI-based data analysis solution, 'G-MATRIX.'


Through this contract, BI Matrix will provide the generative AI-based data analysis solution to the financial sector for the first time in Korea. This is the first supply case since the launch of G-MATRIX, which incorporates generative AI, in September last year, attracting significant attention in the industry.


BI Matrix succeeded in signing the supply contract by demonstrating excellent data response accuracy during Lotte Capital's preliminary testing. G-MATRIX is characterized by maximizing AI accuracy by learning with minimal information based on the 'i-META' module.


G-MATRIX not only boasts outstanding performance but also high security. Although there is strong demand for generative AI solutions in the financial sector, existing cloud-based solutions have limitations due to security vulnerabilities. Since G-MATRIX is an on-premise solution, it can be used in business processes without security issues. The company explained that G-MATRIX was recognized for its on-premise architecture and excellent accuracy, leading to its supply to the security-sensitive financial sector for the first time in Korea.


As a solution applying generative AI, G-MATRIX enables rapid exploration and analysis of complex data. BI Matrix's natural language processing technology allows users to extract necessary data and derive analysis results through conversation. Through its own fine-tuning process for learning, it maintains high accuracy in handling specialized terminology across various industries beyond the financial sector.


G-MATRIX not only minimizes users' working hours during the data analysis process through AI but also maximizes the effectiveness of data utilization. BI Matrix plans to continue its research and development to incorporate advanced AI technologies into G-MATRIX, including predictive functions, thereby creating a significant competitive gap with future products to be released.



A BI Matrix official stated, “G-MATRIX is characterized by applying generative AI technology to dramatically improve users' data accessibility, maximizing data utilization and productivity,” adding, “Following this contract, calls for generative AI adoption are continuing not only from the security-conscious financial sector but also from large corporations and public institutions.”


This content was produced with the assistance of AI translation services.

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