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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."

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...