... enterprise, she outlines the critical shifts data and analytics leaders need to make now, from building trusted data and context foundations to rethinking workforce design, governance, and the role of AI agents in decision-making. You’ll learn: Why trusted data will become the primary sources of AI differentiation ...
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... client? This edition of Data Intelligence Monthly focuses on challenges and practices to govern and manage unstructured data for unlocking GenAI and agentic use cases. D&A leaders should use this fact base to benchmark and inform their approach to drive value from their unstructured data. Analysis Research ...
... Access Insights Already a Gartner client? Uncontrolled growth across all data types is overwhelming storage, budgets and governance. Heads of I&O should adopt a data retention value model that scores each data category by value, legal obligation, risk and life cycle cost to make defensible “keep, tier ...
... The Future of I&O Requires More Than AI Agents To fully leverage AI agents, I&O may need to rethink how work is organized. October 23, 2026 The productivity mindset is too small Many heads of infrastructure and operations are investing in agentic AI to help address persistent skills shortages and resour ...
... client? This research shows heads of EA how to define specific, measurable, actionable, relevant and time‑bound outcomes. Heads of EA must ensure architectural decisions deliver quantifiable value, strengthen strategic clarity and improve operational accountability. Gartner Insights Abstract ...
... guiding the shift to sovereign architectures, and redirecting portfolio investment from low-value efforts to winning bets. Why This Matters Blind Spots What’s Around the Corner Top Client Questions Gartner’s Positions Your Journey as a Head of Enterprise Architecture Evolving Insights History Gartner ...
... Enterprise architecture tools are awash with AI features after considerable vendor investment in improving architect productivity and user experience. Heads of EA should examine the top five emerging AI capabilities, their popular use cases, known challenges, and key questions for vendor evaluation. ...
... trends Data security is safeguarding digital information from risks including unauthorized access, disclosure, modification or noncompliance. Security and risk management technical professionals deploy these measures to mitigate data risks within the information systems that store and process data. Gartner ...
... pivotal shift where AI safety and security have evolved into enterprisewide risks, requiring Heads of Enterprise Architecture to embed AI and cyber resilience directly into their architectural design strategies. Insights at a Glance Analysis Gartner Recommended Reading Gartner Insights Abstract ...