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Research Jun 2026
... Access Insights Already a Gartner client? Agentic and real-time AI applications struggle to scale and deliver value due to latency, bandwidth costs, and outages attributable to centralized cloud processing. Heads of I&O can reduce costs and latency by enabling hybrid edge-cloud architectures to process ...

Analyst(s):   Pankil Sheth
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Research Jul 2026
... Access Insights Already a Gartner client? The disruptive potential of AI reasoning spurs rapid innovation among tech providers, targeting both model advancement and market readiness. Product leaders must focus long-term innovation resources on strategically selected priorities that align with the provider ...

Analyst(s):   Walker Black   |   Radu Miclaus   |   Danielle Casey   |   Vibha Chitkara   |   Evan Zeng   |   Aapo Markkanen
Premium Research May 2026
... Gartner First Takes Fresh insights on emerging trends A reported move by SAP to make its AI accessible to ECC and S/4HANA on-premises customers represents a further movement of ERP market power back to the buyers. IT sourcing, procurement and vendor management leaders must capitalize on increased leverage ...

Analyst(s):   Christian Hestermann   |   Johan Jartelius   |   Mike Tucciarone   |   Bill Ryan
Premium Research Jul 2026
... First Takes Fresh insights on emerging trends I&O leaders should revise their strategies as New York becomes the first state to place a moratorium on new AI data center construction, with other states likely to follow. To avoid unexpected cost escalation and implementation delays, organizations must plan ...

Analyst(s):   Tony Harvey   |   Henrique Cecci   |   Mark Jaggers   |   Paul Wang   |   Autumn Stanish
Research May 2026
... Access Insights Already a Gartner client? AIによって業務構造の透明性が高まり、自動化が進むことにより、ソーシング戦略、契約交渉、ベンダー管理のスキームが大きく変わる。ITソーシング/調達/ベンダー管理のリーダーは、ビジネスに貢献できる存在となるために、AIを使いこなしつつ、高度なリスク管理のスキームも導入する必要がある。 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 根拠 備考 Gartner Insights Abstract ...

Analyst(s):   Ryuichi Tsuchiya
Premium Research Jun 2026
... フォワード・デプロイド・エンジニアリング (FDE) はAI実装を加速させるデリバリ手法だが、従来のSI支援とは本質的に異なる。CIOは、FDEの特徴と自社のテクノロジ・オペレーティング・モデルの成熟度を正しく理解し、自社における導入の是非を見極め、戦略的な舵取りをする必要がある。 インサイトの要約 論点 インパクト 影響 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Naoko Iwamoto
Premium Research Jun 2026
... エンタプライズ・アプリケーションと連携するAIエージェントは、間接利用ライセンスの問題を誘発するリスクがあり、IT予算を破綻させるコンプライアンス・コストの新たな時代が訪れている。本リサーチでは、IT SPVMリーダーがコンプライアンス・コストを軽減し、AIエージェントを展開する前にガードレールを交渉するために取るべきアクションを提示する。 インサイトの要約 戦略的プランニングの仮説事項 論点 インパクト 影響 根拠 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Akimasa Nakao
Premium Research Jul 2026
... Gartner First Takes Fresh insights on emerging trends Tech product and service leaders must plan for continued AI hardware shortages through 2029 and 2030, despite TSMC’s additional $100 billion U.S. investment. Capacity will arrive mainly in the 2030s due to the time- and resource-intensive nature ...

Analyst(s):   Ganesh Ramamoorthy   |   Yashika Goyal
Research Jun 2026
... Access Insights Already a Gartner client? World models and Earth intelligence are driving the new wave of AI vision intelligence. Product leaders must capitalize on this multimodal shift by targeting agentic and cross-model reasoning use cases that turn advanced vision technology into tangible business ...

Analyst(s):   Akhil Singh   |   Alizeh Khare   |   Milly Xiang   |   Nick Ingelbrecht   |   Laura Heath   |   Gunjita Mundeja
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