By integrating Falconry machine learning solutions with the Splunk big data platform, it is possible to proactively prevent anomalies.

MDS Technology (CEO Lee Sang-heon), which entered the big data market by securing the business rights for the big data platform Splunk, announced that it has also secured the business rights for the machine learning solution Falkonry, stating that it will provide differentiated services for data analysis.

Falkonry is an American machine learning solution that derives optimal data models through self-learning algorithms. It becomes even more powerful by integrating with Splunk, a big data platform that collects, analyzes, and visualizes machine data in real time. This is because Falkonry's proprietary algorithms can automate the data results analyzed by Splunk in real time to detect anomalies in advance.

In addition, signal data generated from industrial IoT equipment can be modeled and predicted values obtained, which can be utilized for preventive diagnosis. That is, by linking with global IoT platforms such as Hadoop, SAP’s HANA, and ThingWorx, it can be used for ▲detection of abnormal signs and ▲analysis of the causes of defects.



MDS Technology plans to provide a solution that not only refines and analyzes all corporate data but also proactively detects anomalies necessary for decision-making by combining the big data platform Splunk with the GUI-based machine learning solution Falconry. The strategy is to leverage cutting-edge data analysis technology to enhance customer work productivity and provide new value to the business.

Noh Yoon-sun, Senior Vice President of MDS Technology, stated, “In an increasingly competitive business environment, collecting, analyzing, and predicting data in real time to enhance operational efficiency is a key competitive advantage for companies,” adding, “We will provide differentiated services to our customers by combining big data and machine learning technologies.”