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Premium Research May 2026
... CFOs who harness advanced data analytics and AI will transform finance from reactive reporting to real-time, predictive insight. As data becomes democratized and decisions automated, advanced data analytics is now a baseline that must be constantly reinvented to become a differentiator. Insights at a ...

Analyst(s):   Matt Monopoli   |   Irmina Melarkode   |   Mike Helsel
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Premium Research Sep 2025
... collaboration expands market opportunities for Intel and NVIDIA, enhances AI performance through NVLink, and counters specific challenges in the data center and PC market for both companies. It also strengthens both firms’ positions in enterprise computing while aligning with U.S. government priorities and ...

Analyst(s):   Raymond Paquet   |   Gaurav Gupta   |   Jon Erensen
Research Mar 2024
... Access Research Already a Gartner client? 国内企業による生成AI活用の模索が続いている。その際にSIやコンサルティング・ベンダーといったアウトソーサーとの協業は少なくないが、彼らが現時点でノウハウを十分に蓄えているとは限らない。本リサーチノートでは生成AI活用に関するベンダー提案の適否を見極めるために、SPVMリーダーが押さえるべき留意点を示す。 要約 戦略的プランニングの仮説事項 はじめに 分析 根拠 推奨リサーチ Gartner Research ...

Analyst(s):   Tsuyoshi Ebina
Premium Research Jan 2026
... Top technology trends in higher education include accelerating data and analytics investment, targeting AI outcomes, and addressing technical debt. Higher education CIOs can utilize this research to inform their IT strategy for enhancing student value and establishing resilient digital foundations. ...

Analyst(s):   Marlena Brown   |   Grace Farrell   |   Saher Mahmood   |   Terri-Lynn Thayer   |   Robert Yanckello   |   Tony Sheehan   |   Paul Riley
Research Jun 2026
... Access Insights Already a Gartner client? An AI-based smart layer will disrupt and transform enterprise applications and their surrounding IT environment, by spanning silos through added intelligence, function and data. To capture hidden value, product leaders must adopt a multifaceted smart layer architecture ...

Analyst(s):   Ray Valdes
Research May 2024
... Access Research Already a Gartner client? 生成AIは、IT調達プロセスの効率化、社内データをフル活用したソーシング戦略の起草、契約書管理のコンプライアンス強化をもたらす。これにより、すべてのITソーシング・プロセスに多大な影響を及ぼす可能性がある。ソーシング／調達／ベンダー管理のリーダーは、自社のITソーシング・プロセスのあるべき姿を描く際に、生成AIの可能性を考慮すべきである。 要約 戦略的プランニングの仮説事項 はじめに 影響と推奨事項 推奨リサーチ 根拠 備考1：テクノロジ・プロバイダーによるGenAI投資の例 Gartner Research ...

Analyst(s):   Ryuichi Tsuchiya
Premium Research Sep 2025
... AI is reshaping key workflows across all functions, driving automation, efficiency, and new value. Yet, many implementations lack clear ROI. Functional leaders can use these insights to operate smarter and adapt confidently as AI transforms their businesses. Analysis Research Highlights Gartner Recommended ...

Analyst(s):   Matthias Graf   |   Alexander Bant
Premium Research Jun 2026
... enterprise architecture, I&O, risk management, and procurement, must treat frontier AI intelligence as a high-risk supply chain dependency in the wake of Anthropic’s suspension of its Fable 5 and Mythos 5 models in response to a U.S. government directive. Analysis Gartner Recommended Reading Evolving ...

Analyst(s):   Lydia Leong   |   Philip Allega   |   Duncan Robson   |   Mary Mesaglio   |   Daniel Ryntjes   |   Douglas Toombs   |   Cecilia Ayobami   |   Deepak Seth   |   C.A. Swan   |   Gary Olliffe   |   Jo Liversidge   |   Mark Cooper   |   Lauren Kornutick   |   Bill Ryan   |   Sachin Joshi
Premium Research Sep 2025
... A robust AI operating model is the foundation for driving AI’s business impact at scale. CIOs and AI leaders who architect and evolve their models — focusing on governance, security and data — move beyond fragmented pilots to achieve enterprisewide transformation. This approach builds resilience, trust ...

Analyst(s):   Rajesh Kandaswamy   |   Svetlana Sicular   |   Pieter den Hamer
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