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Premium Research Oct 2026
... Heads of I&O rely on AI capacity that community opposition now delays. AI data centers are not inherently bad; their impact depends on the terms they are built on. Use this research to weigh strains and gains, reduce delivery risk and engage stakeholders before those terms are set. Insights at a Glance ...

Analyst(s):   Mark Jaggers   |   Henrique Cecci   |   Paul Wang   |   Autumn Stanish
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Premium Research Oct 2026
... Agentic AI can increasingly participate in and perform parts of PPM processes, moving beyond generating content to taking action within defined boundaries. PPM leaders must enable their people, processes and data readiness if they wish to capitalize on the benefits of agentic AI embedded in adaptive ...

Analyst(s):   Zainab Ali   |   Woojin Choi   |   Jennifer Jackson   |   Peter Clegg
Research Aug 2026
... Marketing is becoming one of the enterprise’s largest AI spenders outside of IT, yet it rarely has full control over cost and governance. The innovations highlighted here give CMOs an independent FinOps layer through which to control marketing AI spend, prove its value, and maintain flexibility. Insights ...

Analyst(s):   Adam Sarner   |   Audrey Brosnan
Premium Research Aug 2026
... Heads of logistics can use this collection of real-world examples to discover how their peers have successfully leveraged AI solutions to deliver logistics priorities and realize significant benefits. Overview Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Jayashree Thangaiyan   |   Jose Reyes   |   Randy Eck   |   Abdil Tunca
Research Aug 2026
... Access Insights Already a Gartner client? A clear visualization of the AI-enabled technology stack helps realize cross-platform AI capabilities and gain analytical insight. This enables CIOs to maximize the value of AI investments, both within technical domains and the enterprise at large. Analysis ...

Analyst(s):   Mike Cisek   |   Albert Gauthier
Premium Research Sep 2026
... cybersecurity into an AI enabler by transitioning from a risk-dominant to a value-dominant AI cyber governance model. This will balance AI adoption with AI cyber governance, and address issues created by AI technologies that cannot easily be seen or detected, including dark AI and shadow AI. Insights at a Glance ...

Analyst(s):   Meghan Hollis   |   Daryl Plummer   |   Christopher Mixter
Research Aug 2026
... Access Insights Already a Gartner client? The generative AI model providers market is maturing fast as enterprises adopt commercial foundational models. Competition spans hyperscalers to niche AI labs, driven by frontier-model innovation, cost-performance trade-offs, and openness debates. The market ...

Analyst(s):   Radu Miclaus   |   Leinar Ramos   |   Birgi Tamersoy   |   Chirag Dekate   |   Mike Fang
Premium Research Sep 2026
... This analysis evaluates 20 current oil and gas use cases for agentic AI. Oil and gas CIOs can use this assessment to inform an agentic AI strategy that improves operational resilience and delivers clear business value by identifying the most feasible and valuable use cases for their enterprise. Overview ...

Analyst(s):   Ricardo Chang   |   Simon Cushing
Research Oct 2026
... engineering leaders must apply FinOps to custom-built AI agents to govern total cost, value and autonomy. Assess fit and unit economics before the build, instrument the total cost of ownership before the deployment, and enforce runtime economics through AI agent operations. Insights at a Glance Strategic ...

Analyst(s):   Deacon D.K Wan   |   Tigran Egiazarov   |   Wei Jin
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