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Premium Research Jun 2026
... Tech CEOs must treat website AI agents as a revenue conversion capability, not a chatbot upgrade. Building a proprietary agent can turn anonymous digital research into qualified, personalized engagement by combining explicit buyer inputs, approved content, CRM context and governed response workflows. ...

Analyst(s):   Jess Walker
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Premium Research Aug 2026
... EDP vendors failing to build full-stack edge architectures across latency, security, and inference will cede the AI market entirely. Treating edge distribution platforms as mere traffic routing guarantees rapid margin erosion, while token cost-efficient inference engines dictate long-term market survival ...

Analyst(s):   Amol Nerlekar   |   Brandon Medford
Research Oct 2026
... Access Insights Already a Gartner client? As AI enters daily operations, HR leaders face a critical choice: Will AI enhance workforce capabilities or create dependency? These insights provide HR leaders with a framework across cognition, productivity and culture to capture capability gains while mitigating ...

Analyst(s):   CV Viverito   |   LJ Justice
Premium Research Sep 2026
... Enterprises face rising costs and sovereignty disruptions with proprietary frontier AI models. This research helps D&A leaders responsible for AI use OW models’ heatmap to decide when to use OW models for cost-efficiency, control and innovation across key enterprise use cases. Insights at a Glance Strategic ...

Analyst(s):   Afraz Jaffri   |   Ben Yan   |   Mike Fang   |   Anson Chen   |   Tong Zhang
Research Nov 2025
... Legacy IT operating models will not deliver on the promise of AI value to the enterprise. To stay relevant in the age of AI, CIOs must use AI to overhaul sourcing and automate back-office IT processes, while deploying and orchestrating agentic AI enterprise deployments, and adopting advanced operating models ...

Analyst(s):   Chet Geschickter   |   Remi Gulzar   |   Stewart Buchanan   |   Brandon Germer
Research Sep 2026
... Access Insights Already a Gartner client? AIが職場の変革を加速する中、CIOは、AIのシャドー効果である従業員の燃え尽きを防ぎながら、生産性を高めるシステムを設計するという重大な課題に直面している。人間とAIのエクスペリエンスのオーケストレーションは、今後のCIOにとってリーダーシップを定義する課題となる。 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 執筆協力 根拠 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Tadaaki Mataga
Premium Research Jul 2026
... attack surfaces while legacy systems and siloed telemetry create blind spots. Infrastructure and security architects can use this framework to apply AI for unified context-aware telemetry for threat exposure management. Overview Problem Statement The Gartner Approach The Guidance Framework Risks and ...

Analyst(s):   Sumit Rajput   |   Katell Thielemann
Premium Research Jul 2026
... AI agents cannot scale safely on better models or task prompts alone. CIOs should embed enterprise rules, data boundaries, approvals and escalation paths into agent design and runtime controls. This research shows how to convert business context into enforceable guardrails for reliable, trusted execution ...

Analyst(s):   Meghna Joshi   |   Jan-Martin Lowendahl   |   Tomas Nielsen   |   Vishnu Kumar
Research Jun 2026
... Access Insights Already a Gartner client? As AI transforms work and takes over narrow, repetitive tasks, don’t lead with assumed jobs and roles. Pivot your team’s talent strategy to building enduring skills, continuous learning, and versatile archetypes, where value is generated at a more granular level ...

Analyst(s):   Jorg Heizenberg
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