(Editor\u2019s note: EMA has published \u201cRevolutionizing Network Management with AIOps,\u201d a report based on a survey of 309 network infrastructure and operations professionals who have experience with applying AIOps to network management. This article by EMA Vice President of Research Networking Shamus McGillicuddy further details the results of that report.)\nEnterprise network infrastructure and operations teams are increasingly recognizing the value of applying AIOps to network management, according to new market research from Enterprise Management Associates (EMA).\nAI for IT operations (AIOps) is a maturing class of technology that combines machine learning, big data, and other advanced analytics to automate IT management processes. Fundamentally, AIOps correlates and analyzes diverse sets of IT data, identifies patterns, infers insights from those patterns, and presents those insights to IT personnel.\n\nRecently, EMA published \u201cRevolutionizing Network Management with AIOps,\u201d a report that found 90% of the surveyed networking pros believe applying AIOps to network management can lead to better business outcomes for an overall enterprise. Individuals who had gone beyond the research phase to have actual hands-on experience with AIOps were the most enthusiastic about these potential benefits.\nIn other words, AIOps-driven network management can make a business run better. It can translate into better employee productivity, improved customer experience, and revenue generation. But how exactly does AIOps enable this boost to the business?\nThe Network Management Benefits of AIOps \n\u00a0EMA asked survey respondents to identify the potential benefits of AIOps-driven network management that they consider most important to their IT organizations. Network infrastructure and operations pros are most enthusiastic about opportunities for:\n\nNetwork optimization\nOperational efficiency\nImproved security\/compliance\n\nNetwork resiliency and cost reduction were secondary opportunities pursued by fewer IT organizations. Networking pros who reported the most success so far with AIOps were the most likely to single out improved security and compliance as a potential benefit.\nOptimizing Existing Network Management Toolsets\n\u00a0EMA asked networking pros if their interest in AIOps is driven by any shortcomings in their existing network management toolsets. Overall, 91% are hoping AIOps can address problems with their tools. The following opportunities were called out most often were by research respondents:\n\nMitigating conflicting or inaccurate data\nOffsetting a lack of real-time insights\nEliminating tool fragmentation by correlating insights across discrete tools\n\nA network architect with a $40 billion pharmaceutical company summarized this opportunity best in a conversation with EMA: \u201cWe have so many tools and so many GUIs, and every single tool is doing just one thing. If a vendor had functionality where they could marry their solu\u00adtion with other tools and build AI around that, it would be useful. Vendors should look for ways to consolidate panes of glass with other tools, either through acquisition or ingesting and sharing data.\u201d\nHowever, networking pros shouldn\u2019t expect AIOps to fix all their tool problems. Research respondents who reported the most success with applying AIOps to network management were the most likely to say that their AIOps interest isn\u2019t driven by network management tool problems. This suggests that successful users of AIOps are focused on transforming network engineering and operations, rather than addressing challenges with their network management tools.\nAlthough AIOps is still an emerging area of the IT management world, EMA believes it is already delivering significant value. Networking pros should be looking for opportunities to boost operations with AIOps features. Most network infrastructure vendors and network management vendors offer at least some AIOPs capabilities within their products today. Buyers should be asking their vendors about their AIOPs roadmaps.