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Research Feb 2026
... data readiness as a top barrier to AI, driving over 75% of organizations to prioritize AI-ready data investments. A strong data and analytics foundation is essential for AI success. It is enhanced through AI-driven and agentic approaches and must evolve to meet emerging AI and agentic use case demands. ...

Analyst(s):   Sally Parker   |   Roxane Edjlali   |   Lydia Ferguson   |   Rita Sallam   |   Afraz Jaffri   |   Sumit Agarwal
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Premium Research Mar 2026
... AI sovereignty is prevailing as distributed agentic AI permeates industries. CIOs must balance geopolitical risks and vendor dependencies with control over AI models, data, and compute environments. Industry CIOs need to use a decision framework to classify AI investments against risk personas and key ...

Analyst(s):   Mike Fang   |   Gregor Petri   |   Daniel Nieto   |   Dean Lacheca   |   Rene Buest   |   Bettina Tratz-Ryan
Webinar On-Demand
... can effectively communicate with their boards on the responsible implementation of AI. •Identify what the board and CEO want to know about AI •Provide strategic AI leadership •Identify the most appropriate way to deploy AI Contact us at gartnerwebinars@gartner.com with questions about viewing this webinar ...

Analyst(s):   Tina Nunno
Research Mar 2026
... Access Insights Already a Gartner client? Without management, AI agents will sprawl across the enterprise, become chaotic, unmanageable and limit business impact. Product leaders should invest in capabilities to help “wrangle agents through an AI agent management platform” to unify, run, manage, and govern ...

Analyst(s):   Anushree Verma
Premium Research Mar 2026
... AI-powered capabilities are revolutionizing data integration tools in support of urgent data and AI use cases by enabling higher-quality outcomes with fewer resources. Augmentation, automation, and optimization drive efficiency, agility, and better decision making for competitive advantage. Insights ...

Analyst(s):   Michele Launi
Research Feb 2026
... Already a Gartner client? Context graphs represent an evolution of traditional knowledge graphs, purpose-built to enhance AI model performance, specifically engineered for agentic AI grounding, expanding beyond data and knowledge staging into decisions logic, workflows and event tracing and state management ...

Analyst(s):   Radu Miclaus   |   Jim Hare   |   Tom Coshow
Research Mar 2026
... Gartner client? CMOs rely on media agencies to plan, buy, and execute ad campaigns. Now, AI disruption and industry uncertainty elevate supplier risk. CMOs must retool media agency relationships to support integrated, AI-native media operations. Changes to strategy, scope, and structure should all be on the ...

Analyst(s):   Eric Schmitt
Research Mar 2026
... Insights Already a Gartner client? The rapid advancement of AI capabilities requires an urgent reevaluation of the EA role. Heads of EA are under pressure to use AI to expand EA capacity and accelerate service delivery. Failing to integrate AI into EA workflows risks the function losing relevance with ...

Analyst(s):   Rimma Gurevich   |   Duncan Robson   |   Lucas Kobat
Premium Research Apr 2026
... People analytics leaders struggle to adapt their operating model to effectively leverage and scale AI. By reimagining their value chain through the lens of AI, leaders can transition from reactive, dashboard-based insights to proactive, embedded analytics that deliver real-time actionable insights. ...

Analyst(s):   Tim Pasto   |   Bestin Samuel
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