According to Revolutionizing Network Management with AIOps, a research report conducted by Enterprise Management Associates (EMA), 91% of experts believe that AIOps-driven network management can lead to better business outcomes for their enterprises.
Additionally, nine out of ten experts believe that AIOps can address many of the shortcomings of their existing network management solutions. They are also enthusiastic about their ability to automate much of their networks and to streamline operations with this technology.
EMA explains that AIOps is an abbreviation of the phrase "artificial intelligence for IT operations." AIOps combines machine learning and artificial intelligence algorithms with big data and other technologies to enhance IT management. This technology can find patterns in IT data, infer insights and draw conclusions from those patterns, and communicate this knowledge to IT management.
EMA has observed robust AIOps development within the networking industry over the last few years. Network infrastructure vendors and network management vendors have developed homegrown AIOps technologies to enrich their solutions by training them specifically for network management use cases. Moreover, EMA research has detected strong interest among enterprise IT organizations in using this technology.
"IT organizations expect significant returns on their investments in this technology. Enterprises that apply AIOps to networking are able to optimize their infrastructure, reduce operational overhead, and improve security," said Shamus McGillicuddy, VP of Research, covering network management at EMA.
Enterprises need to be aware, however, that AIOps-driven network management has plenty of room for improvement. Only 30% of enterprises have been fully successful with this technology so far, also found in the survey. They want to see vendors advance and mature their capabilities, particularly around predictive analysis, root-cause analysis, network baselining, and anomaly detection. Ultimately, network management organizations have a lot of work ahead of them if they want to realize the full potential of AIOps.
The Latest
To achieve maximum availability, IT leaders must employ domain-agnostic solutions that identify and escalate issues across all telemetry points. These technologies, which we refer to as Artificial Intelligence for IT Operations, create convergence — in other words, they provide IT and DevOps teams with the full picture of event management and downtime ...
APMdigest and leading IT research firm Enterprise Management Associates (EMA) are partnering to bring you the EMA-APMdigest Podcast, a new podcast focused on the latest technologies impacting IT Operations. In Episode 2 - Part 1 Pete Goldin, Editor and Publisher of APMdigest, discusses Network Observability with Shamus McGillicuddy, Vice President of Research, Network Infrastructure and Operations, at EMA ...
CIOs have stepped into the role of digital leader and strategic advisor, according to the 2023 Global CIO Survey from Logicalis ...
Synthetic monitoring is crucial to deploy code with confidence as catching bugs with E2E tests on staging is becoming increasingly difficult. It isn't trivial to provide realistic staging systems, especially because today's apps are intertwined with many third-party APIs ...
Recent EMA field research found that ServiceOps is either an active effort or a formal initiative in 78% of the organizations represented by a global panel of 400+ IT leaders. It is relatively early but gaining momentum across industries and organizations of all sizes globally ...
Managing availability and performance within SAP environments has long been a challenge for IT teams. But as IT environments grow more complex and dynamic, and the speed of innovation in almost every industry continues to accelerate, this situation is becoming a whole lot worse ...
Harnessing the power of network-derived intelligence and insights is critical in detecting today's increasingly sophisticated security threats across hybrid and multi-cloud infrastructure, according to a new research study from IDC ...
Recent research suggests that many organizations are paying for more software than they need. If organizations are looking to reduce IT spend, leaders should take a closer look at the tools being offered to employees, as not all software is essential ...
Organizations are challenged by tool sprawl and data source overload, according to the Grafana Labs Observability Survey 2023, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more.
An array of tools purport to maintain availability — the trick is sorting through the noise to find the right one. Let us discuss why availability is so important and then unpack the ROI of deploying Artificial Intelligence for IT Operations (AIOps) during an economic downturn ...