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Research Aug 2026
... rapid investment pace make it the company to beat in observability platforms. Competitors can close the gap with customized data residency requirements, AI governance investments and disruptive pricing and packaging. Overview Analysis Contributors Gartner Recommended Reading Note 1: The Company to Beat ...

Analyst(s):   Colin Fletcher   |   D.B. Cummings   |   Neil Young
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Research Oct 2026
... Access Insights Already a Gartner client? As AI automates transportation operations, transportation managers must move from routine oversight to network orchestration. This guide gives CSCOs and heads of logistics a framework to create operations orchestrators who strategically coordinate people, carriers ...

Analyst(s):   Brian Day
Research Aug 2026
... Access Insights Already a Gartner client? 多くの企業は、生産性、自動化、ビジネス・プロセスの最適化を目的に、Microsoft製品においてAIエージェントの作成、展開、運用を実施している。サイバーセキュリティ・リーダーは、AIエージェントのセキュリティを考える場合、まずはMicrosoftのインフラストラクチャとの関連を前提に戦略を定義し、エージェントのセキュリティを実装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 実践方法 成功の測定方法 根拠 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Kaoru Yano
Premium Research Jul 2026
... Gartner First Takes Fresh insights on emerging trends CISOs must recognize that closed AI models are not the only ones that can deliver effective cybersecurity outcomes. The new Open Secure AI Alliance highlights open-weight models as an alternative, but those models also bring hosting, sovereignty, ...

Analyst(s):   Craig Lawson   |   Wayne Hankins   |   Charlie Winckless   |   Akif Khan
Premium Research Aug 2026
... As AI moves from assisting work to performing work, CIOs face a new challenge — shaping outcomes they can no longer directly engineer. Success depends not on deploying AI, but on adopting new leadership approaches that shape the systems, conditions and guardrails through which outcomes emerge. Insights ...

Analyst(s):   Josie Xing   |   Lily Mok   |   Kristin Sherwood   |   Sneha Ayyar   |   Kabeh Vaziri
Premium Research Sep 2026
... Using AI to automate transactional and analytical tasks will reduce opportunities for entry-level finance talent to build experience and judgment in the future. CFOs can mitigate this talent risk by retaining critical finance expertise through context engineering, and investing in training simulations ...

Analyst(s):   Hakan Gunaydin
Premium Research Jul 2026
... While AI is often hailed as a cost saver, its long-term impact on inflation and resource scarcity forces CPOs to optimize at a new scale. This research examines critical AI-driven cost pressures: the premium on high-quality data, intense competition for elite talent, and the urgent need for new buying ...

Analyst(s):   Mel Mohamednur   |   Jaswant Kalay
Premium Research Sep 2026
... Agentic AI in retail has focused largely on customer-facing experiences, but a new growth segment is emerging in core retail operations. To capitalize on this market dynamic, technology product and services leaders must understand the market realities and vendor approaches shaping this emerging opportunity ...

Analyst(s):   Sandeep Unni   |   Hanna Karki
Premium Research Aug 2026
... Without the right metrics, I&O teams cannot detect when AI clusters run at high utilization while delivering little real output. Heads of I&O and their teams must monitor token output efficiency alongside GPU utilization to ensure the cluster is delivering, or risk losing business unit confidence. Insights ...

Analyst(s):   Chandra Mukhyala   |   Jaishiv Prakash
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