MetaCoreGlobal Secures Patent for AI-Based Early Anomaly Detection Technology
IT DAILY ·
✦ AI Summary
MetaCoreGlobal has secured a patent for AI-powered real-time performance monitoring and early anomaly detection technology.
The registered patent is titled, "System and Method for Performing Real-Time Performance Monitoring of an Integrated Work Management System and Detecting Abnormal Signs Early Using Artificial Intelligence."
Following the patent acquisition, MetaCoreGlobal is pursuing stronger technological competitiveness in intelligent SAP operations management.
MetaCoreGlobal has secured a patent for AI-powered real-time performance monitoring and early anomaly detection technology. MetaCoreGlobal is a company specializing in SAP performance management and intelligent IT solutions, and its CEO is Lee Dae-jin. Following the patent acquisition, MetaCoreGlobal is pursuing stronger technological competitiveness in intelligent SAP operations management.
The registered patent is titled, "System and Method for Performing Real-Time Performance Monitoring of an Integrated Work Management System and Detecting Abnormal Signs Early Using Artificial Intelligence." The patented technology is intended to detect performance abnormalities in enterprise core business systems at an early stage and support rapid response when such issues occur.
The technology collects system resource data, transaction processing data, user activity data, error occurrence data, and communication status data every second. It also detects abnormal events based on multiple preconfigured threshold conditions by risk level.
It also provides alerts by anomaly type and risk level, and supports viewing a dashboard of the system status at a user-specified past point in time. The image in the article is the OWLens logo, and the image source is MetaCoreGlobal.
As enterprise IT operating environments become more complex and reliance on core business systems rises, the importance of stable system operations and rapid fault response is increasing. SAP ERP is linked to a wide range of business processes, so if SAP ERP performance declines or a failure occurs, the impact could extend across overall company operations.
In this environment, existing real-time monitoring has limitations, and the need for AI training and analysis of operational data accumulated for each customer is growing. The need for AI-based automatic anomaly detection and intelligent operations management technology that can predict the likelihood of failures in advance is also rising, while demand is also expanding for an environment in which even staff without SAP expertise can check operational status and analysis results based on natural-language questions.
Against this backdrop, MetaCoreGlobal has its own SAP performance monitoring solution, OWLens. OWLens provides real-time integrated monitoring of SAP systems and also offers operational management functions such as performance analysis and fault-cause tracking.
As the SAP operating environment has become more complex, including SAP GUI, SAP Fiori, and S/4HANA, the company is expanding its capabilities into a Full-stack Observability platform. The integrated monitoring scope covers the entire range from the user interface and SAP web dispatcher to the NetWeaver application server and HANA DB.
The company has also developed features to improve SAP HANA database operations. By adding HANA DB resource usage and performance monitoring functions for the data lifecycle management (DLM) process, it has made it possible to reduce the burden of database operations and strengthen the performance management framework.
Based on the technology secured through this patent, the company is pursuing commercialization of "OWLens Powered by AI," which adds AI capabilities to the existing OWLens. The AIOps functions under development include natural-language-based data retrieval and analysis (GenAI), intelligent fault detection and root-cause analysis (RCA), and predictive proactive operations management, and the company plans to support an on-premises LLM-based configuration in consideration of enterprise data security requirements.
MetaCoreGlobal plans to support natural-language query-based retrieval and analysis of SAP system performance data for operations staff. It also plans to introduce automatic dynamic threshold setting and improve problem analysis efficiency with a fault-cause inference function. In addition, it intends to provide a function to predict the likelihood of failures and a system capacity optimization recommendation function, supporting a shift from a post-incident response-oriented operating model to a proactive operations management framework.
MetaCoreGlobal has filed an additional patent to expand the area of security anomaly alerts based on user-permission analysis in AI-based real-time performance monitoring technology. Through this, it plans to extend its technological competitiveness beyond SAP operations management into the security management sector.
Lee Dae-jin, CEO of MetaCoreGlobal, emphasized the importance of efficiently analyzing vast amounts of operational data and of technologies for proactively responding to failures as SAP operating environments become more complex. He then said the company would strengthen its AI technology competitiveness based on this patent and accelerate the commercialization of "OWLens Powered by AI." He added that the company plans to provide customers with a more intelligent and efficient SAP operating environment.
It said there was no source material provided, so there were no facts or context to extract.
Source: IT DAILY · Kim Ho
Original: https://www.itdaily.kr/news/articleView.html?idxno=242368
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Source: IT DAILY
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