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Reinventing ITSM? It's Not Going Away - Part 2

Dennis Drogseth

As some of you may know by now, one of my ongoing areas of focus is analytics, AIOps, and the intersection with AI and machine learning more broadly. Within this space, sad to say, semantic confusion surrounding just what these terms mean echoes the confusions surrounding ITSM.

Start with Reinventing ITSM? It's Not Going Away - Part 1

Analytics, AI and Automation

So we asked our respondents for a moment of "AI" free association, with a wide list of diverse terms to choose from. Spoiler alert, just to let you know now, the top choice was machine learning — which was the most logical single equivalent. But the longer list of priorities was yet more telling and more surprising, especially when you link "AI" definitions to IT and non-IT roles.

In addressing analytics and AI, we looked at the following technology initiatives, both in terms of prevalence and priority.

■ AIOps

■ Incident response analytics

■ Governance-related analytics (improving OpEx efficiencies)

■ Asset and cost optimization analysis

■ Big data

■ Analytics specific to business performance (e.g. revenue, business process efficiencies)

Then we mapped these, as well as priorities in automation (a list too long to go into here), to the following use cases:

■ Integrated operations (for superior availability, performance, and change management)

■ Integrated asset management/IT financial planning

■ Self-service capabilities for routine requests and services

■ Enterprise service management (ESM for HR, facilities, etc.)

■ DevOps/agile initiatives

■ Major Incident response

■ Integrated security and operations (SecOps)

■ Internet of Things (IoT)

The patterns we saw highlighted a lot of commonalities in terms of priorities for combining analytics and automation, integration needs, benefits and obstacles. But we also found some striking differences as we mapped the use-case-specific details across a wide range of variables from company size, to level of process and technology sophistication, to success rates, among many others.

If there was one common lesson, it was that those most progressed in use cases, were also most progressed in AI and analytics and most progressed in automation. Not surprisingly, they were also more willing to let automation be driven by analytic insights and AI.

Virtual Agents, AI Bots, ESM, and Wrapping Up

The first three topics in this header could easily be another blog in themselves, or two blogs, or actually a whole series of blogs. But to echo what I mentioned earlier, the overarching message turned out to be surprising commonality.

Even ESM, which reaches out to enable enterprise service workflows (and we examined how and why in-depth) showed strong synergies with AI/analytics and automation investments, as well as many other factors that turned out to characterize our "more progressive" groups.

To learn more about how and why, please join Valerie and me on April 11, as we discuss our findings in Automation, AI and Analytics: Reinventing ITSM.

Read Reinventing ITSM? It's Not Going Away - Part 3

In the meantime, I invite you to share your questions, perspectives, areas of interest, and concerns with us ...

Click here to email Dennis Drogseth with your comments

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Reinventing ITSM? It's Not Going Away - Part 2

Dennis Drogseth

As some of you may know by now, one of my ongoing areas of focus is analytics, AIOps, and the intersection with AI and machine learning more broadly. Within this space, sad to say, semantic confusion surrounding just what these terms mean echoes the confusions surrounding ITSM.

Start with Reinventing ITSM? It's Not Going Away - Part 1

Analytics, AI and Automation

So we asked our respondents for a moment of "AI" free association, with a wide list of diverse terms to choose from. Spoiler alert, just to let you know now, the top choice was machine learning — which was the most logical single equivalent. But the longer list of priorities was yet more telling and more surprising, especially when you link "AI" definitions to IT and non-IT roles.

In addressing analytics and AI, we looked at the following technology initiatives, both in terms of prevalence and priority.

■ AIOps

■ Incident response analytics

■ Governance-related analytics (improving OpEx efficiencies)

■ Asset and cost optimization analysis

■ Big data

■ Analytics specific to business performance (e.g. revenue, business process efficiencies)

Then we mapped these, as well as priorities in automation (a list too long to go into here), to the following use cases:

■ Integrated operations (for superior availability, performance, and change management)

■ Integrated asset management/IT financial planning

■ Self-service capabilities for routine requests and services

■ Enterprise service management (ESM for HR, facilities, etc.)

■ DevOps/agile initiatives

■ Major Incident response

■ Integrated security and operations (SecOps)

■ Internet of Things (IoT)

The patterns we saw highlighted a lot of commonalities in terms of priorities for combining analytics and automation, integration needs, benefits and obstacles. But we also found some striking differences as we mapped the use-case-specific details across a wide range of variables from company size, to level of process and technology sophistication, to success rates, among many others.

If there was one common lesson, it was that those most progressed in use cases, were also most progressed in AI and analytics and most progressed in automation. Not surprisingly, they were also more willing to let automation be driven by analytic insights and AI.

Virtual Agents, AI Bots, ESM, and Wrapping Up

The first three topics in this header could easily be another blog in themselves, or two blogs, or actually a whole series of blogs. But to echo what I mentioned earlier, the overarching message turned out to be surprising commonality.

Even ESM, which reaches out to enable enterprise service workflows (and we examined how and why in-depth) showed strong synergies with AI/analytics and automation investments, as well as many other factors that turned out to characterize our "more progressive" groups.

To learn more about how and why, please join Valerie and me on April 11, as we discuss our findings in Automation, AI and Analytics: Reinventing ITSM.

Read Reinventing ITSM? It's Not Going Away - Part 3

In the meantime, I invite you to share your questions, perspectives, areas of interest, and concerns with us ...

Click here to email Dennis Drogseth with your comments

Hot Topics

The Latest

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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Azul