... Access Insights Already a Gartner client? To avoid obsolescence, data stewardship must evolve to meet the expanding scale and complexity of agentic demands. D&A leaders must implement structured role progressions and invest in targeted programs to empower stewards to govern the critical “context layer ...
Analyst(s): Divya Radhakrishnan | Melody Chien | Guido De Simoni
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... Insights Already a Gartner client? D&A leaders need a robust strategic planning process to successfully deliver value at scale. Strategic planning for data, analytics and AI requires you to establish enterprise context for your work, develop a strategy, design a target operating model, and connect implementation ...
Analyst(s): Antonia Roesler | Soyeb Barot | Alan D. Duncan | Michael Gabbard | Jamie O'Brien
... Hype Cycles from 2009 to 2026 reveals six converging technology trends that will reshape your business (including enterprise architecture) by 2032. Heads of Enterprise Architecture should anticipate greater artificial intelligence disruption (including AI agents) and build quantum-resistant security. Insights ...
... Already a Gartner client? In the age of agentic AI and instant software delivery, ARBs hinder innovation. Heads of enterprise architecture must shift ARBs into an architecture strategy board (ASB) with dynamic, federated partners, using risk-based triage and business-aligned reviews to drive collaboration ...
... AI era is leading to an architecture shift with CPUs regaining prominence as system-level orchestrators rather than execution engines. Product leaders must rethink CPUs as control plane managers, supporting tool execution and distributed AI workloads, while also optimizing data processing flow. Overview ...
... Already a Gartner client? Delivering on the AI strategy is a top priority for software engineering leaders. Modernizing to AI-native architectures, AI-ready APIs and data, and building secure AI engineering platforms are essential to avoid costly failures and to scale AI value. Without these strong foundations ...
Analyst(s): Brian Minning | Brad Dayley | Jim Scheibmeir
... Access Insights Already a Gartner client? Heads of enterprise architecture struggle to optimize IT costs amid incomplete data and competing priorities. These insights show how to bypass exhaustive analysis, unite stakeholders around the biggest cost drivers and fast-track CIO-backed, high-impact optimization ...
... investments in “sovereign compute,” data centers and AI announced at India AI Impact Summit 2026 could redefine the global compute economy and position India as a potential global powerhouse in enterprise AI. Heads of I&O in India should reassess their cloud strategy and architectures now. Overview Analysis Gartner ...
... Gartner client? AI middleware is a broad category of software products that work together to provide an architectural layer that sits between applications, AI models or agents, and enterprise data, standardizing security, connectivity, orchestration, governance, and operations to manage AI safely at ...
Analyst(s): Andrew Humphreys | Keith Guttridge | Nicholas Carter