On May 19, 2018, the "AIOps Challenge Finals and the first AIOps Seminar" hosted by the Chinese Computer Society and co-organized by the Internet Professional Committee of the Chinese Computer Society and organized by the Department of Computer Science of Tsinghua University and the School of Software of Nankai University came to a successful conclusion in Tsinghua University. The data used in this competition are the real operation and maintenance environment data of Baidu, Tencent, Alibaba, eBay and other Internet companies. The competition attracted 125 teams in the field of intelligent operation and maintenance to participate in the competition. After 5 months of intense competition, Qunding Technology showed its leading strength in intelligent operation and maintenance algorithm from the preliminary competition to the final competition.
TrendyTech's intelligent operation and maintenance team, as one of the five teams that entered the final competition, participated in the final defense of the KPI Anomaly Detection Challenge. The feasibility and advancement of its scheme was unanimously recognized by experts. In particular, the unsupervised KPI anomaly detection scheme applicable to real operation and maintenance scenarios and the disk fault prediction scheme in carrier operation and maintenance scenarios attracted extensive attention from experts and manufacturers at the meeting.
Qunding Technology "intelligent operation and maintenance team" to defend
AIOps refers to Algorithmic IT Operations. With the implementation and practice of AI technology in various application fields, IT operation and maintenance will usher in a new era of intelligent operation and maintenance. How to apply the data science and algorithm of academic research to the automatic management of traditional IT operation and maintenance tasks and processes to reduce operation and maintenance failures caused by manual operation errors? Improving the productivity of IT operations has always been a problem that academia and industry need to work together to solve. The purpose of this seminar is to explore the most potential and valuable teams and individuals in the field of intelligent operation and maintenance, and to promote the development of the entire intelligent operation and maintenance industry by attracting more academic and industrial personnel to participate in algorithm research and practice.
Ma Yan, Deputy Director of Internet Committee of Computer Society and Professor of Beijing University of Posts and Telecommunications, delivered a speech
Dr. Pei Dan, Associate Professor of Tsinghua University, delivered the organizer's speech
Nanjing Qunding Technology Co., LTD. (hereinafter referred to as "Qunding Technology"), as a comprehensive cloud computing solution provider with years of experience in operator data center construction and operation and maintenance, has already laid out the intelligent operation and maintenance field many years ago, and now has a national leading expert team of intelligent operation and maintenance algorithm, and based on customers' massive operation and maintenance data and application scenarios, A comprehensive application of expert system, machine learning, deep learning and other algorithms has developed industry-leading artificial intelligence-assisted operation and maintenance products - disk fault prediction software and service load dynamic knowledge software. It is the use of these products that gradually replace manual decision making with intelligent decision making, solving many problems in operation and maintenance that cannot be realized by humans. It has greatly improved the operation and maintenance efficiency of customers' large-scale cloud data centers, and also enabled Qunding Technology to take the lead in achieving the successful landing of AIOps in the operator industry.
According to the leader of the participating team of Qunding Technology, the artificial intelligence field is relatively mature in the aspects of voice, image and time sequence data, but how to find suitable application scenarios in the real production environment, take the customer as the center, truly realize AI as a service, and solve the pain points of customers, this is what manufacturers need to focus on. Qunding Technology has made certain innovative breakthroughs in major fault prevention, energy conservation and emission reduction, etc. based on time series analysis platform for telecom operators' operation and maintenance scenarios.
Mr. Chen Yu (first from the left) from Baidu Operation and Maintenance Department presented the award to Qunding "Intelligent Operation and Maintenance Team"
"This time Qunding technology successfully broke through the competition in more than 100 teams to enter the final, is the industry's recognition of Qunding in the field of" intelligent operation and maintenance "technology, follow-up we will continue to track the field of intelligent operation and maintenance related research results, constantly optimize and improve intelligent operation and maintenance tools in practice, Help customers gradually transfer daily IT management work to intelligent operation and maintenance platform with machine learning and automated operation and maintenance, free IT team from complicated traditional operation and maintenance, so as to focus on building more efficient and highly scalable IT systems to support the enterprise's digital business development. To achieve the industry advocate "IT from operation to operation" road "Qunding technology team leader said.
