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Research Feb 2026
... Access Insights Already a Gartner client? CMOs who embed AI adoption goals into staff objectives will gain higher returns from AI investments. Training may inform marketers about the promise of AI, but learning by doing will accelerate improvements in marketing productivity. Insights at a Glance Strategic ...

Analyst(s):   Michael McCune   |   Devon Weidemann
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Premium Research Mar 2026
... AI coaching offers a cost-effective opportunity to improve employee productivity and development at scale. This research helps L&D leaders determine where AI‑coaching is likely to provide the greatest benefit, where human coaches remain indispensable, and provides some considerations for how to integrate ...

Analyst(s):   Rebecca Burton
Research Apr 2026
... client? Employees are struggling with AI adoption, and it falters further when leaders and managers do not step up to guide employees through the change. CIOs must act: enforce clear accountability, foster collaboration, equip managers, and become AI role models to drive AI adoption across the workforce. ...

Analyst(s):   Gabriela Vogel   |   Rob O'Donohue   |   Shanna Grafeld
Research Apr 2026
... Insights Already a Gartner client? The enterprise sees AI not as IT‑delivered technology, but as a catalyst for reinvention. CIOs must evolve the IT operating model to enable AI at scale. This research identifies core operating model changes to enable AI through co-leadership, skills development and new ways ...

Analyst(s):   Miles Gibson
Research Apr 2026
... a Gartner client? As data, analytics and AI leaders are being held accountable for the outcomes of data and AI literacy initiatives, many often struggle to scale and derive impact enterprisewide. This research covers best practices in implementing data and AI literacy initiatives to accelerate rollout ...

Analyst(s):   Pieter den Hamer   |   Alan D. Duncan   |   Akash Krishnan, PhD   |   Kjell Carlsson
Research Feb 2026
... Access Insights Already a Gartner client? 为帮助企业建立并扩展AI治理,本参考指南为首席信息官(CIO)提供了相关基础知识、框架、技术与示例,涵盖了规范AI治理、管理风险以及应对新型AI智能体挑战等核心主题,并为实现负责任的AI监督提供了切实可行的步骤。 概述 战略规划假设 为何重要 分析 后续措施 Gartner相关推荐阅读 证据 Gartner Insights Abstract ...

Analyst(s):   Lopa Sinha   |   Mike Rollings   |   Remi Gulzar   |   Jessica Harrison   |   Avivah Litan   |   Maheen Ahmad   |   Svetlana Sicular   |   Aviral Vyas
Research Mar 2026
... Access Insights Already a Gartner client? Employees’ fears about AI’s uncertain impact, job loss, and the pace and scale of change are halting AI adoption before it even gets started. CIOs must anticipate and defuse emotional triggers and help employees navigate with clarity, transparency, and grounded ...

Analyst(s):   Helen Poitevin   |   Shanna Grafeld   |   Gabriela Vogel   |   Caroline Hewings   |   Tori Paulman   |   Rob O'Donohue   |   Mary Mesaglio
Research Mar 2026
... Access Insights Already a Gartner client? ソブリンAI (AI主権) を達成するには、地理的な制約を伴うAI基盤階層 (AIスタック) 全体にわたる意思決定の権限が求められる。規制の遵守は、運用コストの増加と相互運用性の課題につながる。CIOおよび他のイノベーション・リーダーは、地域固有のデータセットとオープンソース・モデルを活用しなければならない。 要約 戦略的プランニングの仮説事項 分析 Gartnerによる過去の仮説 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Yoshi Matsumoto
Premium Research Feb 2026
... Engineering Agents Background Software Engineering Agents Context Systems Agent Governance AI-Augmented Agile Planning AI-Augmented Test Management AI-Native Application Generation Deterministic Software Engineering Tools AI SRE Key Architecture Principles & Patterns Key Architecture Recommendations Gartner ...

Analyst(s):   Matt Brasier
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