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Research Apr 2026
... Access Insights Already a Gartner client? AIに関する学習プログラムの効果を測定することは、学習をビジネス面や人材面での成果に確実に結び付けるために極めて重要である。CIOは、CHROやL&Dリーダーと協力し、何がうまくいっているのかを見極め、効果的ではないコンテンツを排除し、プログラムを絶えず改善する必要がある。これは特に、ROIに関する証明が、AIへの継続的な投資の正当化に役立つ場合に当てはまる。 要約 はじめに 分析 根拠 執筆協力 推奨リサーチ 備考1 Gartner Insights Abstract ...

Analyst(s):   Eri Hariu
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Premium Research Apr 2026
... This research outlines CEO sentiments on AI’s impact to guide executive strategy. Executive leaders must use these insights to redesign internal capabilities, prepare for machine customers, and shift away from vulnerable transactional revenue models. Insights at a Glance Issue Context Impact Brief More ...

Analyst(s):   Don Scheibenreif
Premium Research Mar 2026
... To thrive amid AI-driven complexity and disruption in the future, CSCOs should reinvent supply chain processes, upskill talent for technology enablement and build agile trust-based networks. This research will help achieve these goals while driving resilience, innovation and competitive advantage. Overview ...

Analyst(s):   Corwin Hee   |   Maria Nieradka   |   Nikhil Singhal
Premium Research Mar 2026
... accelerating core banking system modernization, moving workloads from monolithic systems to digital platforms. Modernization timelines are shrinking, driven by AI and a need for a seamless agentic customer experience. Insights at a Glance Strategic Planning Assumptions Issue Context Impact Brief Implications Gartner ...

Analyst(s):   Vittorio D'Orazio   |   Ali Merji
Premium Research Mar 2026
... Gartner First Takes Fresh insights on emerging trends GenAI is uniquely deceptive in its ability to look like it’s saving time. However, AI creates work surges for IT employees. This research helps CIOs understand what different types of work surges employees experience and how to navigate each. Contributors ...

Analyst(s):   Kabeh Vaziri   |   Mary Mesaglio   |   Jamie Heyes   |   Alicia Mullery
Premium Research Apr 2026
... semiconductor supply for 6 to 18 months.This shifts the competitive battle ground of the AI infrastructure race from managing increasing capex to assuring semiconductor supply. Hardware vendors (TSMC, Nvidia) are exposed; AI software firms remain insulated. Vendors must adapt to material limits and accelerate ...

Analyst(s):   Ganesh Ramamoorthy
Research Mar 2026
... Access Insights Already a Gartner client? Robotics and physical AI face data scarcity, sim-to-real, and embodiment gaps that delay time to market and inflate costs. Product leaders must adopt synthetic data, advanced simulation and structured adaptation strategies to scale robotics development more reliably ...

Analyst(s):   Arnold Gao
Research Apr 2026
... Access Insights Already a Gartner client? Players that differentiate their AI agent offerings with deep knowledge of the business domain stand to win in the AI race. Product leaders looking to build impactful AI agents for the enterprise need to focus on the three pillars for building domain specificity ...

Analyst(s):   Radu Miclaus
Research Mar 2026
... Access Insights Already a Gartner client? CIOs of IT organizations that have meaningfully adopted AI face a pivotal choice: reinvest AI-driven productivity gains into innovation, modernization, upskilling and work backlog, or capture cost savings. This research guides leaders through the real test of ...

Analyst(s):   Val Sribar   |   Chris Howard   |   Nate Suda   |   Philip Walsh
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