What Can AIOps Do For IT Ops? - Part 3

APMdigest asked the top minds in the industry what they think AIOps can do for IT Operations. Part 3 covers abilities AIOps gives to IT Operations, such as speed and efficiency.

Start with What Can AIOps Do For IT Ops? - Part 1

Start with What Can AIOps Do For IT Ops? - Part 2

PROACTIVE RESPONSIVENESS

Embracing Observability with AIOps gives time back to developers and SREs; it makes their lives easier, so they can focus on improvements and innovation. AIOps surfaces real insights and automates workflows to indicate when there's issues forming — sometimes before they result in an outage — guiding users to the probable root cause of the issue, thus allowing users and teams to fix issues faster and take a proactive approach to prevent future issues from happening. AIOps eliminates the need to manually verify builds, tests, deploys, and releases, and also the need to switch between dashboards communications channels. The collaboration aspects built directly into, and integrated with, a solution unite users with the data and information they need to make informed and proactive decisions.
Adam Frank
VP, Product Management & UX Design, Moogsoft

REAL-TIME RESPONSIVENESS

Under the umbrella of AIOps solutions are features that help teams respond and resolve issues more quickly and as efficiently as possible. Real-time response is a priority for any organization serving customers with high expectations for their digital experience. The pressure on digital service providers continues to increase at an unprecedented pace. In fact, according to Gartner, the average cost to companies of IT downtime is almost $6,000 per minute and can range anywhere from $140,000 per hour to as much as $540,000 per hour. Almost one-third of enterprise companies reported one hour of downtime could cost their business $1-5 million.
Andrew Marshall
Sr. Director of Product Marketing and Advocacy, PagerDuty

SPEED AND EFFICIENCY

AIOps exists to make IT operations efficient and fast by taking advantage of machine learning and big data. With the proper usage, AIOps helps teams act with speed and efficiency and respond to issues proactively and in real-time. This has proven to be a necessity in our new world of working, as organizations need to remain agile and resilient in the face of the next business disruption. This is a game-changer for IT, as teams would be left to solve issues manually, and now, AIOps frees them up to focus on more important tasks.
Gab Menachem
Senior Director, Product Management, ITOM, ServiceNow, and founder and CEO of Loom Systems (a ServiceNow company)

REDUCED MTTR

AIOps helps Dev and Ops teams deliver improvement across the primary SLOs for application reliability and resiliency: MTTR (mean time to resolution) of issues, less system downtime and more time between failures, and faster application response time because of better maintenance.
Jason English
Principal Analyst, Intellyx

IT Central Station users have been impressed with the way AIOps help reduce their mean time to repair (MTTR). This is an important factor for companies that are reliant on their critical IT applications.
Russell Rothstein
Founder and CEO, IT Central Station

Using analytics linked to automation AIOps enables IT operations teams to identify, address and resolve issues more effectively than traditional manual-powered functions. AIOps puts the technology and tools needed to support operational efficiency in one central location — resulting in a more automated and collaborative network that significantly reduces resolution time.
Michael Procopio
Product Marketing Manager, Micro Focus

Today, most enterprises struggle when it comes to technology operations and processes around operations like ITIL. AIOps is going to be the next-gen Ops word for the next 2-3 years around predictive intelligence and predictive insights using artificial intelligence. AIOps will help teams prevent issues occurring in the first place using pattern analysis and also do proactive monitoring. Converting the knowledge base on the repeated issues into knowledge scripts will help reduce the MTTR by invoking those scripts based on the knowledge-based scripts during the failure.
Vishnu Vasudevan
Head of Product Engineering and Management, Opsera

MANAGING NETWORK PERFORMANCE

EMA research has found that 90% of IT organizations believe that applying AIOps to network infrastructure and operations can lead to better overall business outcomes for a company. They find it particularly useful for optimizing their network infrastructure, driving operational efficiency, and reducing security and compliance risk. It isn't easy to achieve these benefits. Only 28% of the IT organizations that are active with applying AIOps to network management consider themselves fully successful with these technology engagements. One big pitfall is risk. While they think AIOps can reduce security and compliance risk, they also think that it might introduce more risk if implemented poorly. They're also struggling with network complexity and data quality. Bad data leads to bad AIOps outcomes.
Shamus McGillicuddy
VP of Research, Networking, Enterprise Management Associates (EMA)

View an on-demand webinar with EMA's Shamus McGillicuddy: Revolutionizing Network Management with AIOps

As networks become more complex and workloads become more distributed, AIOps and virtual AI assistants are increasing becoming essential members of future IT teams. These virtual AI assistants with conversational interfaces are more efficient at viewing the network and managing the end-to-end user experience. As enterprises increasingly move to cloud-managed solutions and services, network vendors whose organizations integrate their customer support, and DevOps teams, with their AIOps data science teams, are fundamentally changing the customer support experience. Enterprises are finding fewer support issues and better visibility as network data moves to the cloud, as well as proactive support such as automated RMA, where their vendor knows a network element needs to be replaced before they do.
Bob Friday
VP and AI Chief Scientist, Juniper Networks

When you think about what AIOps can do for IT Operations it's easy to say that it can do all things and be all things, but the truth behind AIOps is that it will be as good as the data it's fed, and the outcomes you expect. And as we make advancements in AI, ML, and approaches to advanced analytics, the right implementation of AIOps coupled with a complete data set will empower IT organizations to be nimble, accurate, and calculated in their decisions when facing performance issues with critical business applications. While it doesn't replace the operator, it enabled the operator to be pin-point accurate reducing the MTTR and maintaining the high levels of network performance users expect.
Brandon Carroll
Director, Technical Evangelist, Riverbed

MANAGING PERFORMANCE IN THE CLOUD

Enterprises across industries are adopting cloud native patterns to rapidly build contactless, immersive experiences for their customers. But this increased velocity comes with increased complexity. As organizations adopt more cloud native patterns AIOps is a must have and not nice to have. Because without AI OPS there is no way enterprises can effectively manage infrastructure performance in a multi cloud environment or accurately predict capacity.
Milan Bhatt
EVP, Hexaware

Go to What Can AIOps Do For IT Ops? - Part 4

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The Real Enterprise AI Risk Isn't Hallucinations

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

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For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

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Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

What Can AIOps Do For IT Ops? - Part 3

APMdigest asked the top minds in the industry what they think AIOps can do for IT Operations. Part 3 covers abilities AIOps gives to IT Operations, such as speed and efficiency.

Start with What Can AIOps Do For IT Ops? - Part 1

Start with What Can AIOps Do For IT Ops? - Part 2

PROACTIVE RESPONSIVENESS

Embracing Observability with AIOps gives time back to developers and SREs; it makes their lives easier, so they can focus on improvements and innovation. AIOps surfaces real insights and automates workflows to indicate when there's issues forming — sometimes before they result in an outage — guiding users to the probable root cause of the issue, thus allowing users and teams to fix issues faster and take a proactive approach to prevent future issues from happening. AIOps eliminates the need to manually verify builds, tests, deploys, and releases, and also the need to switch between dashboards communications channels. The collaboration aspects built directly into, and integrated with, a solution unite users with the data and information they need to make informed and proactive decisions.
Adam Frank
VP, Product Management & UX Design, Moogsoft

REAL-TIME RESPONSIVENESS

Under the umbrella of AIOps solutions are features that help teams respond and resolve issues more quickly and as efficiently as possible. Real-time response is a priority for any organization serving customers with high expectations for their digital experience. The pressure on digital service providers continues to increase at an unprecedented pace. In fact, according to Gartner, the average cost to companies of IT downtime is almost $6,000 per minute and can range anywhere from $140,000 per hour to as much as $540,000 per hour. Almost one-third of enterprise companies reported one hour of downtime could cost their business $1-5 million.
Andrew Marshall
Sr. Director of Product Marketing and Advocacy, PagerDuty

SPEED AND EFFICIENCY

AIOps exists to make IT operations efficient and fast by taking advantage of machine learning and big data. With the proper usage, AIOps helps teams act with speed and efficiency and respond to issues proactively and in real-time. This has proven to be a necessity in our new world of working, as organizations need to remain agile and resilient in the face of the next business disruption. This is a game-changer for IT, as teams would be left to solve issues manually, and now, AIOps frees them up to focus on more important tasks.
Gab Menachem
Senior Director, Product Management, ITOM, ServiceNow, and founder and CEO of Loom Systems (a ServiceNow company)

REDUCED MTTR

AIOps helps Dev and Ops teams deliver improvement across the primary SLOs for application reliability and resiliency: MTTR (mean time to resolution) of issues, less system downtime and more time between failures, and faster application response time because of better maintenance.
Jason English
Principal Analyst, Intellyx

IT Central Station users have been impressed with the way AIOps help reduce their mean time to repair (MTTR). This is an important factor for companies that are reliant on their critical IT applications.
Russell Rothstein
Founder and CEO, IT Central Station

Using analytics linked to automation AIOps enables IT operations teams to identify, address and resolve issues more effectively than traditional manual-powered functions. AIOps puts the technology and tools needed to support operational efficiency in one central location — resulting in a more automated and collaborative network that significantly reduces resolution time.
Michael Procopio
Product Marketing Manager, Micro Focus

Today, most enterprises struggle when it comes to technology operations and processes around operations like ITIL. AIOps is going to be the next-gen Ops word for the next 2-3 years around predictive intelligence and predictive insights using artificial intelligence. AIOps will help teams prevent issues occurring in the first place using pattern analysis and also do proactive monitoring. Converting the knowledge base on the repeated issues into knowledge scripts will help reduce the MTTR by invoking those scripts based on the knowledge-based scripts during the failure.
Vishnu Vasudevan
Head of Product Engineering and Management, Opsera

MANAGING NETWORK PERFORMANCE

EMA research has found that 90% of IT organizations believe that applying AIOps to network infrastructure and operations can lead to better overall business outcomes for a company. They find it particularly useful for optimizing their network infrastructure, driving operational efficiency, and reducing security and compliance risk. It isn't easy to achieve these benefits. Only 28% of the IT organizations that are active with applying AIOps to network management consider themselves fully successful with these technology engagements. One big pitfall is risk. While they think AIOps can reduce security and compliance risk, they also think that it might introduce more risk if implemented poorly. They're also struggling with network complexity and data quality. Bad data leads to bad AIOps outcomes.
Shamus McGillicuddy
VP of Research, Networking, Enterprise Management Associates (EMA)

View an on-demand webinar with EMA's Shamus McGillicuddy: Revolutionizing Network Management with AIOps

As networks become more complex and workloads become more distributed, AIOps and virtual AI assistants are increasing becoming essential members of future IT teams. These virtual AI assistants with conversational interfaces are more efficient at viewing the network and managing the end-to-end user experience. As enterprises increasingly move to cloud-managed solutions and services, network vendors whose organizations integrate their customer support, and DevOps teams, with their AIOps data science teams, are fundamentally changing the customer support experience. Enterprises are finding fewer support issues and better visibility as network data moves to the cloud, as well as proactive support such as automated RMA, where their vendor knows a network element needs to be replaced before they do.
Bob Friday
VP and AI Chief Scientist, Juniper Networks

When you think about what AIOps can do for IT Operations it's easy to say that it can do all things and be all things, but the truth behind AIOps is that it will be as good as the data it's fed, and the outcomes you expect. And as we make advancements in AI, ML, and approaches to advanced analytics, the right implementation of AIOps coupled with a complete data set will empower IT organizations to be nimble, accurate, and calculated in their decisions when facing performance issues with critical business applications. While it doesn't replace the operator, it enabled the operator to be pin-point accurate reducing the MTTR and maintaining the high levels of network performance users expect.
Brandon Carroll
Director, Technical Evangelist, Riverbed

MANAGING PERFORMANCE IN THE CLOUD

Enterprises across industries are adopting cloud native patterns to rapidly build contactless, immersive experiences for their customers. But this increased velocity comes with increased complexity. As organizations adopt more cloud native patterns AIOps is a must have and not nice to have. Because without AI OPS there is no way enterprises can effectively manage infrastructure performance in a multi cloud environment or accurately predict capacity.
Milan Bhatt
EVP, Hexaware

Go to What Can AIOps Do For IT Ops? - Part 4

Related Links

Hot Topics

The Latest

When the Database Is the Problem, Is APM Enough?

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

From Cleanup to Prevention: The Future of Cloud-Native Cost Optimization

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

The Real Enterprise AI Risk Isn't Hallucinations

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

Beyond Buy vs. Build: The New Playbook for Data Pipelines

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

The Corporate Network Is Fading - Here's What Replaces It

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

IT Leaders Must Establish a Network Data Architecture Practice

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

Data Center Outages Are Decreasing but More Costly

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

Observability Has a Physical Layer Now: What AI Infrastructure Teaches IT Operations

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

TLS Certificate Expiration Is Becoming an Observability Problem

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprise Cloud Observability: Choosing the Right Starting Point

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...