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Report details
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27
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Tables
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Executive Summary
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Introduction
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Research Findings
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Modern IT Infrastructure Is Too Complex to Manage Manually
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Organizations Seek Smarter, Faster, and More Automated Operations
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AI Integration Into IT Operations: Promises, Challenges, and Work Ahead
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Use Cases Flourish as Teams See Impressive Early Results
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Organizations Seek Generative AI Integration to Ease Financial Management of IT…
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Generative AI Has Quickly Become a Hot Commodity for IT Operations
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Conclusion
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Research Methodology
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Respondent Demographics
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Research Report: Generative AI in IT Operations: Fueling the Next Wave of Modernization
Research Report
Sep 17, 2024
by
Jon Brown, Christian Perry, Enterprise Strategy Group Research
Artificial intelligence (AI) is expected to be a game changer for IT operations. In an era when IT operations is under tremendous pressure to accelerate processes, enable digital transformation, and reduce the unit cost and environmental impact of compute, artificial intelligence is seen as a key enabling technology. To address these challenges, organizations are turning to AI tools that eliminate manual processes to move faster, improve efficiency, promote productivity, and improve outcomes. Whether through GenAI-based tools, copilots, natural language querying, or advanced usage of causal and predictive AI, IT operations teams have an ever-increasing set of tools available to help them achieve their goals, improve stakeholder satisfaction, and optimize for their important metrics. Lastly, providers in these markets need to understand how GenAI will impact their value proposition and what buyers prioritize when it comes to AI in IT operations.
To gain further insight into the current status and near future of AI in IT operations, TechTarget’s Enterprise Strategy Group surveyed 360 IT professionals at organizations in North America (US and Canada) involved with observability, ITSM, and AIOps technologies and processes. This survey explored how AI is impacting the selection and use of IT operations tools, key stakeholders influencing purchasing decisions, functional requirements, business and technology drivers, tool consolidation plans, and spending intentions.
Page Count: 26
Table of Contents
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Executive Summary
-
Introduction
-
Research Findings
-
Modern IT Infrastructure Is Too Complex to Manage Manually
-
Organizations Seek Smarter, Faster, and More Automated Operations
-
AI Integration Into IT Operations: Promises, Challenges, and Work Ahead
-
Use Cases Flourish as Teams See Impressive Early Results
-
Organizations Seek Generative AI Integration to Ease Financial Management of IT Operations
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Generative AI Has Quickly Become a Hot Commodity for IT Operations
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Conclusion
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Research Methodology
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Respondent Demographics
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