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... asset-intensive organizations will formally fuse the investment roadmaps for ET/OT/IT to drive IIA. Leverage this research to expand the capabilities for operational excellence with. Explore resources leveraged by power and utilities IT leaders across the globe Utilities have implemented AI/ML models across varied ...
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Premium Research Apr 2024
... by how services are consumed. Infrastructure and operations leaders can use this case study to align “wholesale” infrastructure products with “retail” IT-business product lines, establish an engagement mechanism and prepare for a “block funding” model. Gartner Research ...

Analyst(s):   Infrastructure and Operations Research Team
Research Mar 2024
... Time is a precious commodity for leaders — and one they can control. These survey findings can help executive leaders identify best practices for spending their time related to learning. Overview Data Insights Gartner Recommended Reading Note 1: Metrics Evaluated in the 2023 Gartner Executive Leadership ...

Analyst(s):   Matt Hancocks   |   Graham Waller   |   Gabriela Vogel   |   Rob O'Donohue   |   Lee-Anne Vallée
Premium Research Jun 2026
... This compendium of IT Score for Program & Portfolio Management Benchmark Data offers a unique view across selected industries. The compendium provides ready-to-use presentation materials that can be directly incorporated into individual presentation materials to inform and add additional context. Overview ...

Analyst(s):   Zainab Ali   |   Lars Mieritz   |   Aditi Pant
Research Jan 2026
... Access Insights Already a Gartner client? Rapidly evolving AI use cases, pricing models and ethical implications are creating severe new commercial risks. Sourcing, procurement and vendor management leaders must adapt to new pricing structures, strengthen contractual protection and create contingency ...

Analyst(s):   Bill Ryan   |   Dawn Singer   |   Melanie Alexander   |   Jo Liversidge   |   James Chang   |   Yolanda Harris
Research Jan 2026
... Access Insights Already a Gartner client? 生成式AI技术的尝试阶段已经结束,但许多部署未能满足利益相关者的期望。企业现在必须专注于下一阶段:利用AI可持续地创造业务价值。中国的数据与分析领导者可参考本研究,引导企业在AI竞赛的下半场取得成功。 概述 战略规划假设 分析 回顾 Gartner相关推荐阅读 Gartner Insights Abstract ...

Analyst(s):   Mike Fang   |   Ben Yan   |   Fay Fei   |   Xingyu Gu   |   Tong Zhang   |   Julian Sun
Premium Research Mar 2026
... AI sovereignty hinges on controlling data and AI models. CIOs must understand enforcement mechanisms by analyzing metadata management and data velocity across the organization and supply chain. This research outlines a structured approach to build effective control and management for sovereignty. Gar ...

Analyst(s):   Lydia Clougherty Jones   |   Mike Fang   |   Dean Lacheca   |   Daniel Nieto   |   Bettina Tratz-Ryan
Research Mar 2026
... Access Insights Already a Gartner client? Most AI initiatives fall short due to critical skills gaps in AI engineering capability. This research equips software engineering leaders to assess senior candidates’ engineering experience, technical acumen (including example assessments), and behavioral ski ...

Analyst(s):   Mukul Saha   |   Aaron Harrison   |   Manjunath Bhat   |   Nabeeha Ahmed   |   Nitish Tyagi   |   Frank O'Connor
Research Mar 2026
... Access Insights Already a Gartner client? 企业机构想要通过人工智能(AI)项目实现价值,必须采用一种严格、可重复、覆盖整个企业机构的系统性方法。AI价值参考指南汇集了Gartner框架、工具包和方法,帮助高管从经济学角度(FinOps)审视AI项目中的价值创造、成本和风险。 概述 为何重要 分析 后续步骤 Gartner相关推荐阅读 证据 Gartner Insights Abstract ...

Analyst(s):   Frances Karamouzis   |   Nate Suda   |   Rita Sallam   |   Aviral Vyas   |   Maheen Ahmad   |   Bhakti Laul
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