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Research May 2026
... Access Insights Already a Gartner client? Investors are rewarding companies claiming AI-driven success, causing CEOs to put intense pressure on leaders to deliver on unrealistic expectations for AI-driven cost savings. Resetting those expectations requires a political coalition, not just a technology ...

Analyst(s):   Patrick Quinlan   |   John Quaglietta   |   Kim Hedlin
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Premium Research Apr 2026
... This AI briefing examines three important updates: Anthropic’s Project Glasswing, NVIDIA’s open-source model Ising, and NIST’s AI Agent Standards Initiative. Together, these developments reflect a growing shift toward prioritizing security, governance, and responsible AI growth. Insights at a Glance ...

Analyst(s):   Lucas Kobat   |   Shubhangi Jena   |   Auria Asadsangabi
Premium Research May 2026
... AI’s rapid growth intensifies ethical and reputational risks, making responsible AI a leadership priority. This research offers CIOs practical guidance on implementing responsible AI in their organizations through real actions, not just principles and regulatory compliance. Insights at a Glance Issue ...

Analyst(s):   Alvaro Mello
Premium Research May 2026
... Scaling isolated AI experiments turns value centers into budgetary black holes. To achieve sustainable AI ROI, heads of EA must shift from a technology-first approach to holistic, end-to-end agentic systems, prioritizing investment in data, processes, and people over AI technologies. Strategic Planning ...

Analyst(s):   Andrei Razvan Sachelarescu
Premium Research Jun 2026
... To address the top three barriers to adopting AI in the compliance function, CCEOs must improve AI output reliability by establishing controls end to end, build team skills through repeated use and shared experience, and align AI deployment with workflow readiness. Insights at a Glance Issue Impact ...

Analyst(s):   Dian Zhang
Premium Research May 2026
... Organizations often underestimate their need for an AI governance platform. This self-assessment tool helps leaders responsible for AI determine when to invest in an AI governance platform and identify gaps early to avoid compliance risks, operational inefficiencies, and costly future remediations. ...

Analyst(s):   Souparna Palit   |   Diarmuid Curran   |   Mikael Sacco
Premium Research May 2026
... AI has moved IT and the CIO to the center of business value creation, creating opportunity and risk. To successfully transition their enterprises, CIOs must take charge in shaping enterprisewide AI strategy, the human-AI workforce transformation, and grassroots innovation. Insights at a Glance Issue ...

Analyst(s):   Tanya Arora   |   Shivani Munjral   |   Roger Caleya   |   Neha Dixit
Research May 2026
... Access Insights Already a Gartner client? AIリーダーは、AIの成熟度に合わせてAI組織の形態と機能を適応させ、AIチームを専門的なユニットに細分化することを検討すべきである。AIリーダーは、このジャーニーの各段階における一般的な落とし穴を認識し、それらを回避するための効果的な対策を講じなければならない。 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 根拠 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Naoko Iwamoto
Research Apr 2026
... Gartner client? Premature staff reductions based on assumptions, not data, create operational disruption and limit AI-driven value. This note equips customer service leaders to use phased AI deployment and workforce planning together for precise, adaptive staffing that sustains service excellence. Insights ...

Analyst(s):   Francesco Vicchi
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