Publication | Closed Access
AIOps: Real-World Challenges and Research Innovations
184
Citations
4
References
2019
Year
Unknown Venue
Artificial IntelligenceCustomer SatisfactionEngineeringMachine LearningResearch InnovationsSoftware EngineeringIntelligent SystemsData ScienceIaa CloudIntelligent ServiceSystems EngineeringDistributed Machine LearningAi IntegrationComputer ScienceEnterprise MashupsInfrastructure A CodeCloud ComputingAutomationIntelligent Service SystemTechnologyDevops
AIOps is about empowering software and service engineers (e.g., developers, program managers, support engineers, site reliability engineers) to efficiently and effectively build and operate online services and Apps at scale with artificial intelligence (AI) and machine learning (ML) techniques. AIOps can help achieve higher service quality and customer satisfaction, engineering productivity boost, and cost reduction. In this technical briefing, we summarize the real-world challenges on building AIOps solutions based on our practice and experience in Microsoft, propose a roadmap of AIOps related research directions, and share a few successful AIOps solutions we have built for Microsoft service products.
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