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AIOps for Networking - the Dawning of a New Era

"Humans and manual processes can no longer keep pace with network innovation, evolution, complexity, and change," said Jim Frey, VP of Srategic Alliances at Kentik. "That's why we're hearing more about self-driving networks, self-healing networks, intent-based networking, and other concepts. These approaches collectively belong to a growing focus area called AIOps, which aims to apply automation, AI and ML to support modern network operations."

Key findings in the new report from Kentik, The State of Automation, Artificial Intelligence, and Machine Learning in Network Management, include:

The move to cloud is still underway for a few, but multi-cloud is a reality for many

Moving to the cloud, and especially multi-cloud, is one of the driving factors behind the need for network automation. While 76% of our respondents indicated they were using cloud services, nearly a quarter (24%) report that their organization has not yet moved to the cloud.

Of those with cloud services, nearly half (47%) are working in a multi-cloud environment, so the complexity ramp is a swift one.

Network automation is taking shape

85% of respondents said their organization has one or more types of automation, and yet only 27% of respondents said their organization is "extremely prepared" or "very prepared" for full automation.

Progress is being made, however, as respondents feeling "extremely" or "very" prepared nearly doubled from 15% in Kentik's 2018 survey.

The energy sector leads the network automation trend

Outside of the technology industry, the energy sector is the most prepared for full automation. Thirty percent (30%) of energy sector respondents reported their organization is "extremely prepared" or "very prepared" for full automation.

Healthcare and government are behind the curve. In the healthcare industry, only 3% of respondents reported that their organization is "very prepared" for full automation. Government respondents led among industries "not at all prepared," with 21% of the sector noting this response.

Networking processes are least likely to be automated

Networking processes like compliance and incident response are least likely to be automated. The majority (53%) of respondents are using automation for network configuration — the only area to receive a majority response.

Policy management was the second-most automated process, cited by 40% of respondents.

Processes such as compliance, incident response, and cloud bursting received lower response rates. This may be due to the level of human interpretation and investigation that still needs to exist, as these processes are often regulated and/or are more directly associated with impacting a business and its revenue.

Machine learning is growing in importance for network management

Machine learning is growing in importance for network management, regardless of who you ask. Up 20% since our 2018 survey, 65% of respondents said that ML is now "extremely important" or "very important" for network management. This reflects both the steady maturation of and comfort with ML as a technology, as well as the relentless march of complexity, causing network pros to seek help in reducing time and effort required to monitor and troubleshoot network and application performance in large, complex environments.

AIOps adoption among network professionals is very early stage

AIOps adoption among network professionals is very early stage, but the industry appears ready for it to help with network management. Only 22% of respondents reported that their organizations are actively using or planning to use AIOps tools today. However, clear majorities are prioritizing automation and ML, which are two of the three major foundational elements of AIOps (the third is data integration and enrichment).

"While our industry still appears to be in the early phases of embracing AIOps as a collective strategy, our findings show that the rationale and commitment are there," added Frey. "It appears that AIOps for networking professionals could indeed be the dawning of a new era of efficiency, productivity, and responsiveness, despite rampant technology change and growth, ultimately empowering organizational success."

Methodology: The report compiled an analysis based on the survey responses of 388 executive and technical-level attendees at Cisco Live U.S. 2019.

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AIOps for Networking - the Dawning of a New Era

"Humans and manual processes can no longer keep pace with network innovation, evolution, complexity, and change," said Jim Frey, VP of Srategic Alliances at Kentik. "That's why we're hearing more about self-driving networks, self-healing networks, intent-based networking, and other concepts. These approaches collectively belong to a growing focus area called AIOps, which aims to apply automation, AI and ML to support modern network operations."

Key findings in the new report from Kentik, The State of Automation, Artificial Intelligence, and Machine Learning in Network Management, include:

The move to cloud is still underway for a few, but multi-cloud is a reality for many

Moving to the cloud, and especially multi-cloud, is one of the driving factors behind the need for network automation. While 76% of our respondents indicated they were using cloud services, nearly a quarter (24%) report that their organization has not yet moved to the cloud.

Of those with cloud services, nearly half (47%) are working in a multi-cloud environment, so the complexity ramp is a swift one.

Network automation is taking shape

85% of respondents said their organization has one or more types of automation, and yet only 27% of respondents said their organization is "extremely prepared" or "very prepared" for full automation.

Progress is being made, however, as respondents feeling "extremely" or "very" prepared nearly doubled from 15% in Kentik's 2018 survey.

The energy sector leads the network automation trend

Outside of the technology industry, the energy sector is the most prepared for full automation. Thirty percent (30%) of energy sector respondents reported their organization is "extremely prepared" or "very prepared" for full automation.

Healthcare and government are behind the curve. In the healthcare industry, only 3% of respondents reported that their organization is "very prepared" for full automation. Government respondents led among industries "not at all prepared," with 21% of the sector noting this response.

Networking processes are least likely to be automated

Networking processes like compliance and incident response are least likely to be automated. The majority (53%) of respondents are using automation for network configuration — the only area to receive a majority response.

Policy management was the second-most automated process, cited by 40% of respondents.

Processes such as compliance, incident response, and cloud bursting received lower response rates. This may be due to the level of human interpretation and investigation that still needs to exist, as these processes are often regulated and/or are more directly associated with impacting a business and its revenue.

Machine learning is growing in importance for network management

Machine learning is growing in importance for network management, regardless of who you ask. Up 20% since our 2018 survey, 65% of respondents said that ML is now "extremely important" or "very important" for network management. This reflects both the steady maturation of and comfort with ML as a technology, as well as the relentless march of complexity, causing network pros to seek help in reducing time and effort required to monitor and troubleshoot network and application performance in large, complex environments.

AIOps adoption among network professionals is very early stage

AIOps adoption among network professionals is very early stage, but the industry appears ready for it to help with network management. Only 22% of respondents reported that their organizations are actively using or planning to use AIOps tools today. However, clear majorities are prioritizing automation and ML, which are two of the three major foundational elements of AIOps (the third is data integration and enrichment).

"While our industry still appears to be in the early phases of embracing AIOps as a collective strategy, our findings show that the rationale and commitment are there," added Frey. "It appears that AIOps for networking professionals could indeed be the dawning of a new era of efficiency, productivity, and responsiveness, despite rampant technology change and growth, ultimately empowering organizational success."

Methodology: The report compiled an analysis based on the survey responses of 388 executive and technical-level attendees at Cisco Live U.S. 2019.

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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 ...

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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 ...

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