Skip to main content

Enterprises Looking to AIOps Network Management

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.

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Enterprises Looking to AIOps Network Management

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.

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...