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Research Oct 2026
... Access Insights Already a Gartner client? Product leaders who plan GTM investments by quantifying AI buying complexity outperform those relying on personas alone. The AI Consensus Score identifies the authority centers that drive approval, helping prioritize investments, accelerate consensus and incre ...

Analyst(s):   Jeff Casey
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Premium Research Oct 2026
... Banking and investment services CIOs struggle to satisfy customers due to limited digital capabilities and trouble predicting customer behavior. CIOs can use these examples from Gartner’s Eye on Innovation Awards to learn how their peers are using technologies like AI to enhance customer experience. ...

Analyst(s):   Van To   |   Kristy Waterhouse   |   Mary Yan
Research Sep 2026
... Access Insights Already a Gartner client? AI agents are fast becoming API consumers, highlighting the challenge of discovering valuable API assets despite adoption of MCP. Software leaders can use this guide to direct adoption of unified discovery practices and technology capabilities that steer AI de ...

Analyst(s):   Brian Otten
Premium Research Sep 2026
... Traditional enterprise governance collapses at AI speed. In the agentic era, executive leaders must move from policy-as-documents to real-time control. This shift requires embedding AI governance into systems, aligning it to decision ownership, and continuously balancing risk and value at scale. Insi ...

Analyst(s):   Priya Sundararaman
Premium Research Sep 2026
... While D&A teams speak in technical jargon, business executives require plain, decision-focused language. D&A leaders must develop data storytelling as an enterprise capability to translate analytical outputs into decisions, unlocking value and reinforcing their strategic partner mandate. Insights at ...

Analyst(s):   Jeroen Cornelissen   |   Edgar Macari   |   Fay Fei   |   Jamie O'Brien   |   Anirudh Ganeshan
Research Sep 2026
... Access Insights Already a Gartner client? Enterprises commit nonrefundable AI token spend faster than governance can track it. Like gaming arcades, AI spend is nonportable. Governance depends on how tokens are played: model tiering, consumption posture and operator proficiency, which determines the va ...

Analyst(s):   James Anderson   |   Cesar Lozada   |   Robert Naegle   |   Galliopi Demetriou   |   Beleah Kollue
Premium Research Sep 2026
... AI agent failures in production often stem from a lack of managed context, rather than limitations in LLM reasoning or harness engineering. This research helps AI architects diagnose context failures as agentic architectures scale and resolve them before they impact downstream business operations. Ov ...

Analyst(s):   Maryam Hassanlou
Premium Research Sep 2026
... Many CSCOs struggle to demonstrate supply chain AI ROI because they focus on technology implementation and adoption rates instead of measuring AI business outcomes. To realize value from AI, use this framework connecting operating model readiness, AI implementation outcomes, and business impact. Insi ...

Analyst(s):   Pierfrancesco Manenti   |   Snigdha Dewal
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