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Built-in Monitoring Is Most Important AIOps Feature

Built-in monitoring/native instrumentation ranked as the most important feature of an AIOps solution, cited by nearly 55% of respondents in a new study from OpsRamp, The State of AIOps 2023.

The study concludes that AIOps is delivering real benefits for enterprises and MSPs, even as two-thirds of respondents have concerns about how accurate the data going into their AIOps systems is.

With the global economy facing headwinds on multiple fronts including inflation, the cost-of-living crisis, higher interest rates and war in Ukraine, both enterprises and MSPs are focused on improving IT efficiency and automation in 2023. MSPs cited improving operational efficiencies as their No. 1 challenge to achieving steady growth and profitability, while enterprises pointed to automating as many operations as possible as the biggest need or challenge they were trying to overcome in 2023.

While more than 60% of respondents were adopting AIOps to improve service and application availability and performance, the second and third top choices were for automation of operations (58%) and processes (54%).

Meanwhile, the greatest IT operations challenge for enterprises in 2023 was automating as many operations as possible, cited by 66% of respondents. Yet barely half of respondents (52%) cited automation of tedious tasks as their primary operational benefit of AIOps, trailing reduction in open incident tickets (65%) and reduction in MTTD and MTTR (56%). Improvements in automation are clearly top of mind for enterprises and MSPs in 2023.

Other key findings include:

■ Application to infrastructure dependency mapping is the top incident management challenge for enterprises and MSPs, cited by 64% of total respondents.

■ Intelligent alerting is the No. 1 use case for AIOps today for both enterprises (70%) and MSPs (66%).

■ The vast majority of AIOps implementations—more than 80%—take six months or less.

■ Data accuracy was respondents' biggest concern about AIOps, cited by 70% of MSPs and 62% of enterprises.

■ AIOps is creating jobs, not killing them, though engineers with the right skillsets for AIOps remain hard to find. Just 36% of respondents were concerned about AIOps deployment causing job loss while 68% said it takes more than six months to hire engineers with the right skillsets for AIOps

"The study shows that AIOps is real and is delivering tangible benefits for enterprises and MSPs," said Suresh Vobbilesetty, EVP, Engineering at OpsRamp. "But it also shows that organizations' AIOps initiatives remain a work in progress and have a ways to go before they can realize the full potential of the technology."

Methodology: The study was conducted in December by a third party research firm, and includes input from 265 respondents who work at the general manager, director or vice president level at enterprises and MSPs in North America, Europe or Asia Pacific. All respondents have budget decision-making responsibilities for IT monitoring tools, and work at firms with at least $25 million in annual revenue and more than 500 employees.

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Built-in Monitoring Is Most Important AIOps Feature

Built-in monitoring/native instrumentation ranked as the most important feature of an AIOps solution, cited by nearly 55% of respondents in a new study from OpsRamp, The State of AIOps 2023.

The study concludes that AIOps is delivering real benefits for enterprises and MSPs, even as two-thirds of respondents have concerns about how accurate the data going into their AIOps systems is.

With the global economy facing headwinds on multiple fronts including inflation, the cost-of-living crisis, higher interest rates and war in Ukraine, both enterprises and MSPs are focused on improving IT efficiency and automation in 2023. MSPs cited improving operational efficiencies as their No. 1 challenge to achieving steady growth and profitability, while enterprises pointed to automating as many operations as possible as the biggest need or challenge they were trying to overcome in 2023.

While more than 60% of respondents were adopting AIOps to improve service and application availability and performance, the second and third top choices were for automation of operations (58%) and processes (54%).

Meanwhile, the greatest IT operations challenge for enterprises in 2023 was automating as many operations as possible, cited by 66% of respondents. Yet barely half of respondents (52%) cited automation of tedious tasks as their primary operational benefit of AIOps, trailing reduction in open incident tickets (65%) and reduction in MTTD and MTTR (56%). Improvements in automation are clearly top of mind for enterprises and MSPs in 2023.

Other key findings include:

■ Application to infrastructure dependency mapping is the top incident management challenge for enterprises and MSPs, cited by 64% of total respondents.

■ Intelligent alerting is the No. 1 use case for AIOps today for both enterprises (70%) and MSPs (66%).

■ The vast majority of AIOps implementations—more than 80%—take six months or less.

■ Data accuracy was respondents' biggest concern about AIOps, cited by 70% of MSPs and 62% of enterprises.

■ AIOps is creating jobs, not killing them, though engineers with the right skillsets for AIOps remain hard to find. Just 36% of respondents were concerned about AIOps deployment causing job loss while 68% said it takes more than six months to hire engineers with the right skillsets for AIOps

"The study shows that AIOps is real and is delivering tangible benefits for enterprises and MSPs," said Suresh Vobbilesetty, EVP, Engineering at OpsRamp. "But it also shows that organizations' AIOps initiatives remain a work in progress and have a ways to go before they can realize the full potential of the technology."

Methodology: The study was conducted in December by a third party research firm, and includes input from 265 respondents who work at the general manager, director or vice president level at enterprises and MSPs in North America, Europe or Asia Pacific. All respondents have budget decision-making responsibilities for IT monitoring tools, and work at firms with at least $25 million in annual revenue and more than 500 employees.

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The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...