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Nearly 96% of IT Professionals Believe GenAI Will Boost IT Productivity

Shamus McGillicuddy

When IT leaders started telling Enterprise Management Associates (EMA™) more than a year ago that their personnel were using premium ChatGPT subscriptions to create device configs and automation scripts, we knew the industry was on the verge of a revolution. Given the extreme interest in generative AI (GenAI) and the billions of dollars being invested in the technology,  EMA decided to investigate how enterprise IT organizations are applying the technology to IT operations tasks and processes today.

Artificial intelligence (AI) has been a hot IT industry buzzword for many years, particularly in the context of AIOps (AI for IT operations). AIOps is primarily the application of machine learning and other advanced algorithms to IT telemetry data for event correlation, anomaly detection, problem isolation, root-cause analysis, and other operational use cases. AIOps promised to streamline and automate various aspects of IT management, and it continues to gain momentum in the industry.

More recently, the emergence of ChatGPT from OpenAI kicked interest in AI into overdrive. ChatGPT and the countless competing platforms that followed it to market leverage large language models (LLM) to power generative AI, a technology that can produce new content in response to user prompts.

EMA spoke to many IT professionals who are successfully applying consumer-facing, general-purpose generative AI tools to IT operations tasks. The research aimed to uncover how these technologies can be effectively applied to IT management.

Some of the key findings from my new report, <span style="font-style: italic;">Applying Generative AI to IT Operations</span>, include:

■ Most IT professionals are using both general-purpose tools like ChatGPT and generative AI capabilities from their IT vendors.

■ The top challenges with applying generative AI to IT operations are validating quality of AI outputs, managing data quality, and integrating AI into tools and processes.

■ 93% believe it is at least somewhat important for their IT vendors to offer generative AI capabilities.

■ The two biggest potential benefits of applying generative AI to IT management tasks are the optimization of IT service performance and the improved alignment of IT with the business.

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Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

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Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

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Cloud computing has transformed how we build and scale software, but it has also quietly introduced one of the most persistent challenges in modern IT: cost visibility and control ... So why, after more than a decade of cloud adoption, are cloud costs still spiraling out of control? The answer lies not in tooling but in culture ...

CEOs are committed to advancing AI solutions across their organization even as they face challenges from accelerating technology adoption, according to the IBM CEO Study. The survey revealed that executive respondents expect the growth rate of AI investments to more than double in the next two years, and 61% confirm they are actively adopting AI agents today and preparing to implement them at scale ...

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IBM

 

Nearly 96% of IT Professionals Believe GenAI Will Boost IT Productivity

Shamus McGillicuddy

When IT leaders started telling Enterprise Management Associates (EMA™) more than a year ago that their personnel were using premium ChatGPT subscriptions to create device configs and automation scripts, we knew the industry was on the verge of a revolution. Given the extreme interest in generative AI (GenAI) and the billions of dollars being invested in the technology,  EMA decided to investigate how enterprise IT organizations are applying the technology to IT operations tasks and processes today.

Artificial intelligence (AI) has been a hot IT industry buzzword for many years, particularly in the context of AIOps (AI for IT operations). AIOps is primarily the application of machine learning and other advanced algorithms to IT telemetry data for event correlation, anomaly detection, problem isolation, root-cause analysis, and other operational use cases. AIOps promised to streamline and automate various aspects of IT management, and it continues to gain momentum in the industry.

More recently, the emergence of ChatGPT from OpenAI kicked interest in AI into overdrive. ChatGPT and the countless competing platforms that followed it to market leverage large language models (LLM) to power generative AI, a technology that can produce new content in response to user prompts.

EMA spoke to many IT professionals who are successfully applying consumer-facing, general-purpose generative AI tools to IT operations tasks. The research aimed to uncover how these technologies can be effectively applied to IT management.

Some of the key findings from my new report, <span style="font-style: italic;">Applying Generative AI to IT Operations</span>, include:

■ Most IT professionals are using both general-purpose tools like ChatGPT and generative AI capabilities from their IT vendors.

■ The top challenges with applying generative AI to IT operations are validating quality of AI outputs, managing data quality, and integrating AI into tools and processes.

■ 93% believe it is at least somewhat important for their IT vendors to offer generative AI capabilities.

■ The two biggest potential benefits of applying generative AI to IT management tasks are the optimization of IT service performance and the improved alignment of IT with the business.

Hot Topics

The Latest

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...

In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ... 

Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...

Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...

64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...

Cloud computing has transformed how we build and scale software, but it has also quietly introduced one of the most persistent challenges in modern IT: cost visibility and control ... So why, after more than a decade of cloud adoption, are cloud costs still spiraling out of control? The answer lies not in tooling but in culture ...

CEOs are committed to advancing AI solutions across their organization even as they face challenges from accelerating technology adoption, according to the IBM CEO Study. The survey revealed that executive respondents expect the growth rate of AI investments to more than double in the next two years, and 61% confirm they are actively adopting AI agents today and preparing to implement them at scale ...

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IBM