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Research Sep 2026
... Access Insights Already a Gartner client? AI has enabled sales organizations to drive efficiencies, but translating that to revenue impact has been a struggle. This research helps CSOs determine how to reinvest AI-created capacity into productive activity to drive revenue gains. Insights at a Glance ...

Analyst(s):   Dave Egloff   |   Paul Vignati   |   George Tobias
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Premium Research Sep 2026
... The AI middleware market will reach $36 billion by 2030, driven by a shift from legacy deterministic systems controlling known outcomes to autonomous AI capabilities. To capitalize on this opportunity, vendors must transition beyond legacy architectures and build agent-native control planes designed ...

Analyst(s):   Arunasree Cheparthi   |   Andrew Humphreys   |   Manjunath Bhat   |   Varsha Mehta   |   Nicholas Carter   |   Keith Guttridge
Premium Research Aug 2026
... CHROs can use AI as a strategic enabler to transform “white-glove” service into technology-led employee service excellence. By placing a focus on defining service principles with AI, CHROs can enable HR service teams to manage quality and personalize the employee experience. Insights at a Glance Issue ...

Analyst(s):   Nicole Paripurana
Premium Research Oct 2026
... AI is accelerating cross-functional output faster than most organizations can absorb it. As product, GTM, and strategic initiatives generate more deliverables, they accumulate in leadership review queues. Tech CEOs who focus on reducing these bottlenecks, not just AI productivity, will outpace competitors ...

Analyst(s):   Ryan Mulcahy
Premium Research Oct 2026
... Automation of AI research and development is accelerating the pace of AI capability improvement, but recursive self-improvement in current systems still has significant limitations. CIOs should prepare for faster progress while critically evaluating RSI and other AGI-related claims. Insights at a Glance ...

Analyst(s):   Joe Antelmi   |   Philip Walsh   |   Frank Buytendijk
Premium Research Oct 2026
... Simply deploying AI tools does not guarantee business value when digital workers skip AI fundamentals. Use the practical tips and strategic behavioral shifts in this workshop to transform passive users into a workforce that has adapted to AI. Overview Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Adam Preset   |   Sohail Majumdar   |   Cory Decker   |   Joe Mariano
Premium Research Sep 2026
... attract and retain employees with high AI proficiency in the technology industry (AI tech talent). This research leverages Gartner’s proprietary conjoint analysis data on employees’ total rewards preferences to clarify the rewards attributes most critical to AI tech talent, and provides guidance on how ...

Analyst(s):   Augustus Vickery
Premium Research Sep 2026
... 画像生成AIは、創造性や生産性を高める一方、知的財産、個人情報、誤認、ブランド、ステークホルダーへの影響といった新たなリスクを伴う。CIOは、経営者やAI推進リーダーと共に、責任分担を明確にし、利用可能なAIサービス、リスクに応じた確認、公開後の対応を整備する必要がある。 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
... program value and performance visible? Modernize compliance training with AI-driven personalization and analytics. How does AI impact our legal model, talent needs and management of service providers? Automate legal workflows with AI to focus on high-value priorities. Lorem ipsum dolor sit amet, consectetuer ...
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