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The State of IT Service Delivery: Next-Generation Technologies Force Change

Steve Francis

As IT service delivery solutions change, organizations are looking to next generation technologies (NGTs) to increase efficiency and deliver a better customer experience. Specific technologies like "cloud-to-the-edge" and artificial intelligence (AI), as well as marketplace shifts like the proliferation of the subscription economy and the importance of Digital Transformation (DX), necessitate action for organizations to keep pace with their competitors.

Only 20 percent of participants do not plan to modernize their IT service delivery solution

To examine the current state of IT service delivery – and anticipate where it leads next – LogicMonitor polled nearly 100 ServiceNow Knowledge18 attendees and LogicMonitor customers for the State of IT Service Delivery survey. The results are clear: IT service delivery is evolving, with 80 percent of the survey participants already implementing or planning to implement a modern IT solution, shortly. Only 20 percent of participants do not plan to modernize their IT service delivery solution.

What’s facilitating this shift? Early-movers indicate they’re driven by the need to increase efficiency (80 percent), improve decision-making (76 percent), and offer a better customer experience (76 percent).

We also found that organizations are approaching this new State of IT Service Delivery in a common fashion: Next-Generation Technologies and monitoring.

Next-Generation Technologies Force Change

NGTs are impacting a wide spectrum of industries. Respondents identified four key NGTs enhancing their IT service delivery capabilities:

■ 60% see cloud-to-the-edge improving efficiency by processing at the edge of the network

■ 60% anticipate the effect the expansion of subscription economy will have on IT service

■ 57% believe that AI will deliver a better customer experience by automating routine error responses and improving time to resolution

■ 56% see digital transformation (DX) having a major effect on the IT process holistically. DX will reimagine the IT process and improve important customer touchpoints

As organizations anticipate the effect these NGTs will have, it’s crucial for them to track their system’s performance. 76 percent of survey participants believe an improved customer experience is a key reason they’re investing in IT service delivery, which can be threatened by system errors and outages caused by a botched NGT integration. As a result, businesses must focus on system monitoring.

Monitoring is Vital

Effective monitoring leads to increased efficiency, improved decision-making, and a better customer experience

84 percent of survey participants recognize the value that properly monitoring devices, apps, and services can have for a successful IT service delivery solution. Effective monitoring leads to increased efficiency, improved decision-making, and a better customer experience – the key reasons organizations are investing in IT service delivery in the first place.

Clearly monitoring is important, but what does good monitoring entail? Participants outlined the primary types of monitoring vital to IT service delivery: infrastructure performance monitoring, app performance monitoring, and log management.

Further, respondents described two key features of a monitoring solution: 82 percent list context-rich alerts designed to create a straightforward response process as crucial, and 77 percent want automated synchronization between the CMDB and the monitoring platform.

Approaching the New State of IT Service Delivery

NGTs are transforming how IT Service Delivery processes work. To keep pace with competitors in the evolving marketplace, companies should embrace these technologies and invest in effective monitoring processes to ensure the best customer experience possible.

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The State of IT Service Delivery: Next-Generation Technologies Force Change

Steve Francis

As IT service delivery solutions change, organizations are looking to next generation technologies (NGTs) to increase efficiency and deliver a better customer experience. Specific technologies like "cloud-to-the-edge" and artificial intelligence (AI), as well as marketplace shifts like the proliferation of the subscription economy and the importance of Digital Transformation (DX), necessitate action for organizations to keep pace with their competitors.

Only 20 percent of participants do not plan to modernize their IT service delivery solution

To examine the current state of IT service delivery – and anticipate where it leads next – LogicMonitor polled nearly 100 ServiceNow Knowledge18 attendees and LogicMonitor customers for the State of IT Service Delivery survey. The results are clear: IT service delivery is evolving, with 80 percent of the survey participants already implementing or planning to implement a modern IT solution, shortly. Only 20 percent of participants do not plan to modernize their IT service delivery solution.

What’s facilitating this shift? Early-movers indicate they’re driven by the need to increase efficiency (80 percent), improve decision-making (76 percent), and offer a better customer experience (76 percent).

We also found that organizations are approaching this new State of IT Service Delivery in a common fashion: Next-Generation Technologies and monitoring.

Next-Generation Technologies Force Change

NGTs are impacting a wide spectrum of industries. Respondents identified four key NGTs enhancing their IT service delivery capabilities:

■ 60% see cloud-to-the-edge improving efficiency by processing at the edge of the network

■ 60% anticipate the effect the expansion of subscription economy will have on IT service

■ 57% believe that AI will deliver a better customer experience by automating routine error responses and improving time to resolution

■ 56% see digital transformation (DX) having a major effect on the IT process holistically. DX will reimagine the IT process and improve important customer touchpoints

As organizations anticipate the effect these NGTs will have, it’s crucial for them to track their system’s performance. 76 percent of survey participants believe an improved customer experience is a key reason they’re investing in IT service delivery, which can be threatened by system errors and outages caused by a botched NGT integration. As a result, businesses must focus on system monitoring.

Monitoring is Vital

Effective monitoring leads to increased efficiency, improved decision-making, and a better customer experience

84 percent of survey participants recognize the value that properly monitoring devices, apps, and services can have for a successful IT service delivery solution. Effective monitoring leads to increased efficiency, improved decision-making, and a better customer experience – the key reasons organizations are investing in IT service delivery in the first place.

Clearly monitoring is important, but what does good monitoring entail? Participants outlined the primary types of monitoring vital to IT service delivery: infrastructure performance monitoring, app performance monitoring, and log management.

Further, respondents described two key features of a monitoring solution: 82 percent list context-rich alerts designed to create a straightforward response process as crucial, and 77 percent want automated synchronization between the CMDB and the monitoring platform.

Approaching the New State of IT Service Delivery

NGTs are transforming how IT Service Delivery processes work. To keep pace with competitors in the evolving marketplace, companies should embrace these technologies and invest in effective monitoring processes to ensure the best customer experience possible.

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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...