The practice of applying artificial intelligence and machine learning (AI/ML) algorithms to IT management has gained mainstream acceptance over the last few years. Many vendors and IT organizations embraced the acronym AIOps (artificial intelligence for IT operations) to denote this phenomenon. Whether called AI/ML or AIOps, these technologies are gaining traction and delivering value.
Many IT organizations apply AI/ML and AIOps technology across domains, correlating insights from the various layers of IT infrastructure and operations. However, Enterprise Management Associates (EMA™) has observed significant interest in applying these AI technologies narrowly to network management, according to a new research report, titled AI-Driven Networks: Leveling Up Network Management with AI/ML and AIOps. Networks are notoriously complex, and network management is rife with manual processes and tool sprawl, making networks a fertile domain for AI-driven transformation.
Previous research from EMA confirmed that IT organizations recognize the potential value of AI-driven network management. Two years ago, 90% of IT professionals told EMA that the application of AIOps to network management could lead to better business outcomes for their companies. EMA's new research found this optimism ticked slightly to 92% today.
AI/ML technology can streamline, enhance, and automate many network management processes. IT organizations are recognizing the potential benefits of improving overall network performance, agility, and security, especially with solutions from network management and network infrastructure vendors. Even emerging, general-purpose tools like ChatGPT can offer value to network teams.
The key hurdle is to translate into reality this belief that AI-driven network management can improve business outcomes. IT organizations must learn how to evaluate and implement this technology. Then, they must convince potentially skeptical technical personnel to use it. Two years ago, only 41% of IT organizations believed they were fully effective at evaluating the AI/ML and AIOps technology they were considering for network management use cases, and only 30% considered themselves completely successful in their overall engagement with the technology at that point.
Two years later, with this new report, EMA is revisiting the topic of AI-driven network management to explore whether the technology has matured and whether IT organizations have found success in using it. This report examines the experiences of individuals who are currently engaged with AI/ML and AIOps solutions aimed at network management.
Some of the key findings include:
■ Only 36% of organizations have been completely successful with managing their networks with AI/ML and AIOps technology, up from 30% in 2021.
■ Network optimization, automated troubleshooting, intelligent alerting and escalations, and vendor management are top-priority use cases for AI/ML.
■ Nearly 69% of organizations saw at least some improvement in overall end-user experience since applying AI/ML technology to network management.
The Latest
The use of hybrid multicloud models is forecasted to double over the next one to three years as IT decision makers are facing new pressures to modernize IT infrastructures because of drivers like AI, security, and sustainability, according to the Enterprise Cloud Index (ECI) report from Nutanix ...
Over the last 20 years Digital Employee Experience has become a necessity for companies committed to digital transformation and improving IT experiences. In fact, by 2025, more than 50% of IT organizations will use digital employee experience to prioritize and measure digital initiative success ...
While most companies are now deploying cloud-based technologies, the 2024 Secure Cloud Networking Field Report from Aviatrix found that there is a silent struggle to maximize value from those investments. Many of the challenges organizations have faced over the past several years have evolved, but continue today ...
In our latest research, Cisco's The App Attention Index 2023: Beware the Application Generation, 62% of consumers report their expectations for digital experiences are far higher than they were two years ago, and 64% state they are less forgiving of poor digital services than they were just 12 months ago ...
In MEAN TIME TO INSIGHT Episode 5, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the network source of truth ...
A vast majority (89%) of organizations have rapidly expanded their technology in the past few years and three quarters (76%) say it's brought with it increased "chaos" that they have to manage, according to Situation Report 2024: Managing Technology Chaos from Software AG ...
In 2024 the number one challenge facing IT teams is a lack of skilled workers, and many are turning to automation as an answer, according to IT Trends: 2024 Industry Report ...
Organizations are continuing to embrace multicloud environments and cloud-native architectures to enable rapid transformation and deliver secure innovation. However, despite the speed, scale, and agility enabled by these modern cloud ecosystems, organizations are struggling to manage the explosion of data they create, according to The state of observability 2024: Overcoming complexity through AI-driven analytics and automation strategies, a report from Dynatrace ...
Organizations recognize the value of observability, but only 10% of them are actually practicing full observability of their applications and infrastructure. This is among the key findings from the recently completed Logz.io 2024 Observability Pulse Survey and Report ...
Businesses must adopt a comprehensive Internet Performance Monitoring (IPM) strategy, says Enterprise Management Associates (EMA), a leading IT analyst research firm. This strategy is crucial to bridge the significant observability gap within today's complex IT infrastructures. The recommendation is particularly timely, given that 99% of enterprises are expanding their use of the Internet as a primary connectivity conduit while facing challenges due to the inefficiency of multiple, disjointed monitoring tools, according to Modern Enterprises Must Boost Observability with Internet Performance Monitoring, a new report from EMA and Catchpoint ...
