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Research May 2026
... Access Insights Already a Gartner client? エージェント型AIの台頭によって、エントリ・レベルの実行タスクが自動化され、従来のピラミッド型I&O組織が時代遅れになっている。I&O統括責任者は、デジタル・ワークフォースを管理する「エージェント・オーナー」の役割をオペレーションの中心に据え、AIに取って代わられたスタッフのリスキリングや配置転換を行いながら、ダイヤモンド型の構造へとチームを再編しなければならない。 インサイトの要約 戦略的プランニングの仮説事項 インパクトの概要 アクション 注意事項 実践方法 成功の測定方法 推奨リサーチ Gartner Insights ...

Analyst(s):   Tadaaki Mataga
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Premium Research Jun 2026
... following NVIDIA’s announcement that its GPU-powered agentic runtime will now run on PCs. To maintain market position, product leaders should evaluate local AI workload readiness, realign hardware roadmaps, and secure early-adopter advantage before the market shifts. Overview Analysis Gartner Recommended Reading ...

Analyst(s):   Adrian O'Connell   |   Steve Kleynhans   |   Gaurav Gupta   |   Rishi Padhi   |   Ranjit Atwal   |   Jon Erensen
Research Jul 2026
... Access Insights Already a Gartner client? Agentic AI services create a trust crisis: providers must deliver enterprise agentic capabilities without compromising proprietary data, context or process IP. Clean-room learning defines the client boundary, clarifies federated and nonfederated patterns, and ...

Analyst(s):   Alastair Woolcock
Research May 2026
... Gartner client? Sustained speed and adaptability in product and fusion teams come from well-governed autonomy, not tighter control. As IT, digital, and AI increasingly democratize, CIOs must balance between empowerment and autonomy to maintain alignment, manage risk, and deliver sustained value. Insights ...

Analyst(s):   Chet Geschickter   |   Jamie Heyes   |   Jaime Capella   |   Remi Gulzar   |   Brandon Germer   |   Peter Skyttegaard   |   Tomas Nielsen
Research Jun 2026
... Access Insights Already a Gartner client? AI-native software engineering is driving demand for cloud platform services that reduce infrastructure complexity. Software engineering leaders should use this Hype Cycle to choose the most relevant innovations and technologies. Analysis Definition: Why This ...

Analyst(s):   Tigran Egiazarov   |   Prasanna Lakshmi Narasimha
Premium Research Jun 2026
... エンタプライズ・アーキテクチャ統括責任者は、フィジカルAIの運用フレームワークを設計する必要がある。業界のユースケースで実証されたビジネス価値を提供し、エンタプライズ対応のフィジカルAIの展開に向けた安全性／相互運用性／統合標準を満たすベンダーの選定を主導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 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Takeshi Ikeda
Premium Research Jun 2026
... Vendor proposals often include licensing, professional and consulting services, and AI within a single line item. IT sourcing, procurement, and vendor management leaders should use this tool to unbundle these specific costs to avoid financial risk. When to Use Directions for Use Gartner Recommended Reading ...

Analyst(s):   Jess Aggio   |   Chris Middlebrook
Premium Research May 2026
... Data, analytics, and AI capabilities are increasingly converging into single, unified platforms. For data and analytics technical professionals, this creates leading-edge frontier opportunities, though not without new challenges and risks when implementing converged architectures and platforms. Overview ...

Analyst(s):   Michael Gonzales   |   Zain Khan
Research Jun 2026
... Access Insights Already a Gartner client? 地政学的な変動とエージェント型AIの台頭により、従来のIT組織中心で設計されてきたITオペレーティング・モデルでは対応しきれない限界が顕在化している。AI活用が広がるにつれ、テクノロジ・オーナーシップは企業全体に分散し、細かく分かれていく。CIOは、このより広く行き渡ったテクノロジ環境を安全に統合・管理していくために、オペレーティング・モデルを抜本的に見直して再構築する必要がある。 インサイトの要約 インパクト アクション 注意事項 実践方法 成功の測定方法 根拠 推奨リサーチ Gartner Insights ...

Analyst(s):   Kentaro Shikanai   |   Naoko Iwamoto
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