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DataRobot Automation Machine Learning Platform
Credit risk analysis, management, and prevention in the global financial sector 
Data Robot
DataRobot announced on the 4th that it is supplying a machine learning automation platform to Korea Credit Bureau (KCB) to support the development of faster and more accurate credit rating models.
KCB is a credit rating information company established through the investment of 18 major domestic financial companies to build a new system capable of proactive prevention and management to enhance financial safety.
KCB introduced DataRobot, a machine learning automation solution, to streamline the credit rating and prediction model development process and improve model accuracy.
The DataRobot introduced by KCB supports the automation of the entire process of building machine learning models, ranging from data preparation and modification to algorithm selection, tuning, model performance comparison, explanation of prediction results, model deployment, monitoring, and management.
In particular, it generates features suitable for applying machine learning algorithms to find the optimal combination of algorithms, ranks models based on training results, and enables training new models with the latest data by comparing predicted results with actual results.
DataRobot's Branch Manager, Kim Hyung-tak, stated, "DataRobot's automated machine learning platform is gold worldwide."“We support the analysis, management, and prevention of credit and market risks in the financial sector and help enhance customer investment stability,” he said. “Going forward, we will strengthen the development of platforms that collaborate with various entities, including financial institutions, fintech companies, marketers, and financial analysts, and provide support to lead to business outcomes such as fraud detection and prevention.”
Meanwhile, KCB's machine learning automation platform implementation project was carried out by Innovi Consulting Group, DataRobot's domestic partner.
Kim Do-yoon, CEO of Innovi Consulting Group, stated, “In line with KCB’s requirements to build accurate machine learning models related to credit information, we assisted with the implementation of the DataRobot platform and provided customized consulting.” He added, “Going forward, we will strengthen our support to help domestic companies accelerate the adoption of AI systems and enhance business value by combining Innovi Consulting Group’s software development expertise with the DataRobot platform’s outstanding automation technology.”
Credit risk analysis, management, and prevention in the global financial sector

Data Robot
DataRobot announced on the 4th that it is supplying a machine learning automation platform to Korea Credit Bureau (KCB) to support the development of faster and more accurate credit rating models.
KCB is a credit rating information company established through the investment of 18 major domestic financial companies to build a new system capable of proactive prevention and management to enhance financial safety.
KCB introduced DataRobot, a machine learning automation solution, to streamline the credit rating and prediction model development process and improve model accuracy.
The DataRobot introduced by KCB supports the automation of the entire process of building machine learning models, ranging from data preparation and modification to algorithm selection, tuning, model performance comparison, explanation of prediction results, model deployment, monitoring, and management.
In particular, it generates features suitable for applying machine learning algorithms to find the optimal combination of algorithms, ranks models based on training results, and enables training new models with the latest data by comparing predicted results with actual results.
DataRobot's Branch Manager, Kim Hyung-tak, stated, "DataRobot's automated machine learning platform is gold worldwide."“We support the analysis, management, and prevention of credit and market risks in the financial sector and help enhance customer investment stability,” he said. “Going forward, we will strengthen the development of platforms that collaborate with various entities, including financial institutions, fintech companies, marketers, and financial analysts, and provide support to lead to business outcomes such as fraud detection and prevention.”
Meanwhile, KCB's machine learning automation platform implementation project was carried out by Innovi Consulting Group, DataRobot's domestic partner.
Kim Do-yoon, CEO of Innovi Consulting Group, stated, “In line with KCB’s requirements to build accurate machine learning models related to credit information, we assisted with the implementation of the DataRobot platform and provided customized consulting.” He added, “Going forward, we will strengthen our support to help domestic companies accelerate the adoption of AI systems and enhance business value by combining Innovi Consulting Group’s software development expertise with the DataRobot platform’s outstanding automation technology.”
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