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Enterprises Looking to AI for Smarter IT Management

Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from global AI-centered technology research and advisory firm Information Services Group (ISG).

The ISG Buyers Guides™ for IT Management, produced by ISG Software Research, find AI plays a growing role in comprehensive software frameworks for IT observability, operations management and FinOps. The need for IT management software is growing, the research says, as enterprises transition to more agile and cloud-centric architectures. AI-powered software is also helping enterprises manage and optimize the delivery, performance and responsiveness of IT services.

"IT leaders need effective operations and service management more than ever for resilience and long-term success," said Jeff Orr, Research Director for IT, ISG Software Research. "Enterprises are adopting multiple tools and platforms to support ongoing IT innovation while controlling costs."

Economic pressures, heightened cybersecurity risks and the growing need to support hybrid and remote workers have intensified the need for software that helps manage and operate IT systems and services. CIOs and IT leaders often cite these trends when building a business case for new investments in this area, ISG says.

Enterprises are strategically integrating AIOps, which uses machine learning to automate IT processes, and holistic observability practices, which help companies understand the state of IT systems through their outputs, the reports say. Together, these approaches enable real-time monitoring of application performance and infrastructure health, and provide the ability to predict and mitigate potential issues, allowing companies deliver high-quality IT services with less manual intervention. Through 2026, ISG expects 40% of enterprises to fund AIOps strategies to streamline operations and optimize resources.

AI is enabling IT teams to generate insights from vast amounts of data, the reports say. By 2027, ISG expects software providers to release GenAI-driven tools for processes such as incident management, resource allocation and performance forecasting. GenAI is also changing IT service management, introducing features such as automatic command-line generation to help teams handle service requests.

In the future, agentic AI will enable intelligent workflows with semi-autonomous actions and decisions to manage incidents in real time, ISG says. Self-healing mechanisms driven by agentic AI may be able to resolve issues automatically, allowing IT teams to focus on strategic initiatives. However, the reports say, enterprises need to be aware of unique challenges involving governance, compliance, business risk and other aspects of these emerging technologies.

As companies move more data and workloads to the cloud, FinOps is becoming a critical tool for managing costs and finances. FinOps strategies foster collaboration among finance, IT and business teams to share responsibility for managing costs and resource consumption. ISG expects one in five enterprises to invest in coordinated FinOps efforts by IT and finance departments through 2026.

"CIO and IT leaders are looking to unify the management of their IT environments and technology services through software made more intelligent with AI," said Mark Smith, chief software analyst and partner, ISG Software Research. "For the first time, our portfolio of IT management software research introduces a unified framework for evaluating software providers and products operating in this space."

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Enterprises Looking to AI for Smarter IT Management

Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from global AI-centered technology research and advisory firm Information Services Group (ISG).

The ISG Buyers Guides™ for IT Management, produced by ISG Software Research, find AI plays a growing role in comprehensive software frameworks for IT observability, operations management and FinOps. The need for IT management software is growing, the research says, as enterprises transition to more agile and cloud-centric architectures. AI-powered software is also helping enterprises manage and optimize the delivery, performance and responsiveness of IT services.

"IT leaders need effective operations and service management more than ever for resilience and long-term success," said Jeff Orr, Research Director for IT, ISG Software Research. "Enterprises are adopting multiple tools and platforms to support ongoing IT innovation while controlling costs."

Economic pressures, heightened cybersecurity risks and the growing need to support hybrid and remote workers have intensified the need for software that helps manage and operate IT systems and services. CIOs and IT leaders often cite these trends when building a business case for new investments in this area, ISG says.

Enterprises are strategically integrating AIOps, which uses machine learning to automate IT processes, and holistic observability practices, which help companies understand the state of IT systems through their outputs, the reports say. Together, these approaches enable real-time monitoring of application performance and infrastructure health, and provide the ability to predict and mitigate potential issues, allowing companies deliver high-quality IT services with less manual intervention. Through 2026, ISG expects 40% of enterprises to fund AIOps strategies to streamline operations and optimize resources.

AI is enabling IT teams to generate insights from vast amounts of data, the reports say. By 2027, ISG expects software providers to release GenAI-driven tools for processes such as incident management, resource allocation and performance forecasting. GenAI is also changing IT service management, introducing features such as automatic command-line generation to help teams handle service requests.

In the future, agentic AI will enable intelligent workflows with semi-autonomous actions and decisions to manage incidents in real time, ISG says. Self-healing mechanisms driven by agentic AI may be able to resolve issues automatically, allowing IT teams to focus on strategic initiatives. However, the reports say, enterprises need to be aware of unique challenges involving governance, compliance, business risk and other aspects of these emerging technologies.

As companies move more data and workloads to the cloud, FinOps is becoming a critical tool for managing costs and finances. FinOps strategies foster collaboration among finance, IT and business teams to share responsibility for managing costs and resource consumption. ISG expects one in five enterprises to invest in coordinated FinOps efforts by IT and finance departments through 2026.

"CIO and IT leaders are looking to unify the management of their IT environments and technology services through software made more intelligent with AI," said Mark Smith, chief software analyst and partner, ISG Software Research. "For the first time, our portfolio of IT management software research introduces a unified framework for evaluating software providers and products operating in this space."

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Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...

OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...

Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...

The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...

The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...

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Real privacy protection thanks to technology and processes is often portrayed as too hard and too costly to implement. So the most common strategy is to do as little as possible just to conform to formal requirements of current and incoming regulations. This is a missed opportunity ...

The expanding use of AI is driving enterprise interest in data operations (DataOps) to orchestrate data integration and processing and improve data quality and validity, according to a new report from Information Services Group (ISG) ...