... Insights Already a Gartner client? Application leaders must monitor the emerging vendor landscape of AI-native ERP startups, as AI agents increase their level of autonomy and interoperability. Deployment of AI-native ERP startups requires careful consideration of vendors’ roadmap and financial viability. ...
Analyst(s): Johan Jartelius | Allan Wilkins | Neha Ralhan
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... of I&O may be attracted to the idea of using AI to accelerate FinOps efforts and achieve rapid cost savings. However, AI and tools alone will not create a mature FinOps practice. You must establish good foundational practices, build skills, and govern AI usage to achieve long-term success. Insights at ...
... client? Simply deploying AI tools does not guarantee business value when digital workers skip AI fundamentals. Share these practical tips and strategic behavioral shifts with ChatGPT, Claude, Copilot, and Gemini to transform passive users into a workforce that has adapted to AI. Insights at a Glance Strategic ...
... prioritization and application of top AI use cases and pilots, with defined ownership and execution plans via repeatable framework Developed enterprise AI operating models with a center-of-excellence structure and key AI roles Transitioned from no AI activity to an ongoing, quarterly AI execution cadence The impact ...
... 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 ...
... 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
... July 2026 marks a shift in AI market dynamics across compute capacity, export controls and cost optimization. Heads of Enterprise Architecture should stop treating AI as an innovation initiative and instead plan for model-agnostic architectures, multiprovider strategies and an AI FinOps discipline. Insights ...
Analyst(s): Shubhangi Jena | Auria Asadsangabi | Lucas Kobat
... 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
... 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