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Premium Research Aug 2026
... Retail volatility is increasingly driven by localized and unpredictable disruptions that traditional forecasting cannot fully anticipate. While AI will not predict the future with certainty, it can continuously generate, evaluate and operationalize business scenarios before disruptions occur. Retail ...

Analyst(s):   Tom Nolan
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Research May 2026
... agentic coding and consumption-based pricing have resulted in bills that have shocked software engineering leaders with cost increases of up to 100x over coding assistants. Leaders and their teams must apply practices discussed in this note to optimize AI coding agents’ token consumption. Insights at a Glance ...

Analyst(s):   Alec Pallin   |   Nitish Tyagi
Research Jul 2026
... Access Insights Already a Gartner client? As AI disrupts B2B tech buying, analyst relations must deploy context-specific insights that address the reality of new buying behaviors. AR aids in discoverability of the vendor and its offerings, supports sales in mitigating buyer conflict, and validates findings ...

Analyst(s):   Brayden Napoli   |   McKenzie Smith
Premium Research Sep 2025
... Organizations face pressure to achieve rapid, measurable AI results but often struggle to scale and align initiatives with business goals. The Gartner 4A Model equips enterprise applications leaders with the tools to effectively drive enterprisewide AI adoption and deliver impactful outcomes. Overview Gartner ...

Analyst(s):   Saikat Ray
Premium Research May 2025
... Domain-specific AI models are required to break down security silos and deliver more effective and efficient threat detection, investigation and response platforms. Security product and services leaders must adopt domain-specific AI now to provide successful TDIR outcomes. Overview Analysis Gartner Recommended ...

Analyst(s):   Tom Powledge   |   Apeksha Kaushik
Premium Research Aug 2025
... The AI era demands firms rebuild operating models for speed at scale. Businesses must embrace a threefold path to accelerate: simulate scenarios with AI to speed innovation; automate dynamic, self-optimizing workflows with GenAI; and parallelize work to eliminate bottlenecks and increase throughput. ...

Analyst(s):   Research Board Research Team
Premium Research Feb 2026
... AI adoption on constrained endpoints is slow because enterprises fear security breaches and loss of control. These worries are in addition to model accuracy to foundational AI readiness and system integration inexperience. AI product leaders face loss of revenue, time, and trust if they don’t help customers ...

Analyst(s):   Ben Lee
Premium Research Mar 2026
... cyberthreat intelligence using AI techniques. It explores how AI can enhance and automate the gathering of threat data, aiming to improve the effectiveness and efficiency of threat intelligence operations. The research also considers the limitations of the use of AI in the collection phase of the CTI ...

Analyst(s):   Nahim Fazal
Premium Research Sep 2026
... AIが急速に進化する中、時代は、江戸時代とNew Worldへの分岐点に差しかかっている。CIOは、経営者と共に進路を定め、産業革命オフィスを組成し、AIエージェント・プラットフォームを企業OSとしたAI駆動型ビジネスへの第一歩を踏み出す必要がある。 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 詳細 根拠 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Tadaaki Mataga
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