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Premium Research Sep 2026
... Brief Architecture Use Cases Architecture Diagram Architecture Capabilities and Components Edge AI Application Layer Edge AI Outcome Execution Layer Edge AI Data Layer Edge AI Enablement Layer Edge AI Infrastructure Layer Key Architecture Principles and Patterns Key Architecture Recommendations Gartner Recommended ...

Analyst(s):   Sumit Rajput   |   Alfonso Velosa   |   Scot Kim   |   Mohini Dukes
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... Generative AI (GenAI) introduces new opportunities and challenges that are driving changes to approaches to architecture, skills and ways of working. In particular, AI teams are struggling with building data retrieval architectures, designing system and component evaluations and guardrails, and making ...

Analyst(s):   Joe Antelmi   |   Henrik Engelschiøn   |   Satyaki Sen
Research Jul 2026
... Gartner client? AI will soon simply be part of enterprises’ broader technology roadmaps. This intersection of AI and existing technologies will bring new capabilities, but also new risks. This strategic technology roadmap will help address these risks with technologies that increase AI governance effectiveness ...

Analyst(s):   Lauren Kornutick   |   Diarmuid Curran   |   Rita Sallam   |   Daryl Plummer   |   Sumit Agarwal
Research Sep 2026
... Access Insights Already a Gartner client? Emerging AI requirements drive demand for solutions enabling AI workloads to be deployed across hybrid environments. This requires infrastructure that combines multiple execution venues into a unified hybrid AI infrastructure architecture. This research helps heads ...

Analyst(s):   Julia Palmer   |   Chandra Mukhyala   |   Dennis Smith
Research Aug 2026
... Access Insights Already a Gartner client? AI context platforms construct, govern and deliver reusable context to AI agents at runtime. As enterprises scale production agents, leaders responsible for AI should implement these platforms to develop context into a first-class enterprise asset, rather than ...

Analyst(s):   Radu Miclaus   |   Afraz Jaffri   |   Christopher Long   |   Kjell Carlsson
Research Jul 2026
... prepare their enterprise and workforce for success in the AI era. AI transformation fails primarily because organizations are not ready, not because the technology is unavailable. Leaders must move beyond their comfort zones and prioritize comprehensive AI readiness across their organization and people. Insights ...

Analyst(s):   Ray Collins   |   Jamie O'Brien
Premium Research Sep 2026
... Conversational AI is becoming a diverse and advanced landscape, with generative AI models adding new capabilities and agentic AI adding new automation. CIOs need to evaluate their conversational AI strategy to ensure they are on the path to affordable, feasible, governable and scalable AI. Overview Contributors ...

Analyst(s):   Gabriele Rigon   |   Danielle Casey
Premium Research Aug 2026
... presents 32 board-level KPIs for AI maturity. It explains what they are, why they are important, their formulas, how to measure them, where to obtain the data, and who owns it. Taken together, these KPIs provide senior leaders with a consistent, decision-grade view of whether the AI strategy is aligned, value ...

Analyst(s):   Joe Ham   |   Pieter den Hamer   |   Svetlana Sicular   |   Eyad Tachwali   |   Anthony Mullen   |   Haritha Khandabattu   |   Whit Andrews
Premium Research Aug 2026
... An AI governance maturity model is a critical tool for assessing and enhancing AI capabilities. Heads of EA and AI leaders should use this model to assess and improve their AI governance maturity, ensuring compliance and maximizing AI business benefits. Insights at a Glance Strategic Planning Assumption ...

Analyst(s):   Eric Ratts   |   Duncan Robson   |   Svetlana Sicular   |   Lucas Kobat   |   Fred Ganter
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