RETRACTED ARTICLE: Corporate governance reform in the era of artificial intelligence: research overview and prospects based on knowledge graph

Zhang, Lipai; Xia, Xiqiang; Mengyuan, Lu

doi:10.1007/s10479-021-04416-2

Cited by 5 publications

(3 citation statements)

References 41 publications

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“…Identifying the root cause of incidents is often a difficult and time-consuming task. AIOps deals with this challenge by applying unsupervised ML techniques to monitor metrics and correlate logs, thus expediting root-cause analysis [28]. Therefore, by consolidating data from disparate sources into a centralized dashboard, AI allows a comprehensive view of incidents.…”

Section: Root Cause Analysismentioning

confidence: 99%

AIOps in Cloud-native DevOps: IT Operations Management with Artificial Intelligence

Tatineni

2023

J Arti Inte & Cloud Comp

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Businesses often deal with the growing challenge of maintaining IT operations, especially with the increase in technological dependence. Organizations adopting AIOps and organizations elevate IT operations management to address these challenges. This shift comes as a response to the increasing complexities of the huge data, applications, and infrastructure in today's digital scope. Traditionally, managing these systems incorporated manual observation and performance metric analysis, processes which are highly prone to errors and inefficiency. AIOps introduces automation through AI/ML algorithms, which analyze patterns to predict and address issues quickly and rectify discrepancies. Therefore, recognizing the diverse needs of companies, each facing unique goals and challenges, depicts the role of tailoring AIOps solutions to specific needs. For example, a global e-commerce company managing a huge online platform will ensure a seamless user experience and quick response to customer interactions. In such a situation, the IT team's focus with AIOps could be on real-time analytics to anticipate and mitigate potential disruptions, automated incident response to minimize downtime, and predictive maintenance to address performance issues. This article explores comprehensive insights into how AIOps functions are important in dealing with IT operations challenges within cloud-native DevOps. It aims to explore the benefits of AIOps in improving incident response efficiency, refining system monitoring capabilities, and optimizing IT operations.

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Section: Root Cause Analysismentioning

confidence: 99%

AIOps in Cloud-native DevOps: IT Operations Management with Artificial Intelligence

Tatineni

2023

J Arti Inte & Cloud Comp

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“…One of the most promising emerging industries in the 21st century is the software industry, the level of development of the information industry of each country and the comprehensive competitiveness in the international market is determined by the level of development of the software industry. By 2021, although the number of domestic computer science graduates has skyrocketed, but the software technology senior personnel is still very short, in response to this problem [7], the domestic software industry.The primary task is how to train high-quality computer talents in line with international standards, and overall improve the overall level of the domestic software industry.…”

Section: Current Statusmentioning

confidence: 99%

Teaching Reform of Computer Science in Combination with Artificial Intelligence

Zhang¹,

Zhang²,

Yang³

et al. 2022

IJEH

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In recent years, with the rapid landing application of artificial intelligence in various industries and the strong demand for artificial intelligence professionals, many colleges and universities nowadays respond to national policies and compete to open courses and majors related to artificial intelligence. In order to build first-class application-oriented undergraduate institutions and cultivate first-class talents, higher education institutions should actively cultivate application-oriented and compound skilled talents for the development of the whole society and local economy and industrial transformation and upgrading. In order to promote the intelligence and development of computer majors, this teaching reform proposes the teaching concept of AI + software, project-based teaching reform for courses and independent practical links, introduction of AI, reflecting engineering quality and job competence training, and strengthening the mastery, application and innovation of professional knowledge.

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“…AI finds out the real potentials of companies and tries to offer optimal solutions to solve the problems in the corporate governance system. AI also identifies the unstable business proposals and unstable strategies in the organizational environment, reducing companies’ failure rates ( de Almeida et al, 2021 ; Lipai et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the application of artificial intelligence technology in the protection of corporate governance rights and interests

Shen

2022

Front. Psychol.

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Corporate governance delivers feasible and controlled company operations using a group of common shareholders and appropriate policies. The roles and responsibilities of the shareholders suggest and improve corporate development through monotonous and independent rights. The implication of artificial intelligence provides knowledgeable insights for decision-making and control management. This article introduces a Mutual Consent-based Governance Regulation Model (MCGRM) for dissimilarity mitigation in corporate rule implications. The proposed model exploits transfer learning for balanced rule implication and decision-making. The learning states are defined based on mutual agreement, individual interest, and operational features. Based on the governance policies, the above rules are employed without hindering the pioneer regulations implemented in different periods. Therefore, artificial intelligence technology is utilized for prompt and swift governance decisions in delivering special rights for consumers and shareholders. The performance of this model is validated and verified using data sources related to governance policies from a real-time industry. The impact of varying policy features with dissimilarity is analyzed for varying occurrences. The analysis is given based on the considered data sources for which the classification and its impact over reports, sharing, voting, complaint, and market are analyzed. The availability before and after the proposed improves the above metrics by 10.48, 10.65, 9.78, 13.39, and 9.26%.

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RETRACTED ARTICLE: Corporate governance reform in the era of artificial intelligence: research overview and prospects based on knowledge graph

Cited by 5 publications

References 41 publications

AIOps in Cloud-native DevOps: IT Operations Management with Artificial Intelligence

AIOps in Cloud-native DevOps: IT Operations Management with Artificial Intelligence

Teaching Reform of Computer Science in Combination with Artificial Intelligence

Analysis of the application of artificial intelligence technology in the protection of corporate governance rights and interests

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