... Data fabric is the future-proof data management architecture to support both current and upcoming data, analytics and AI use case demands, including support for AI-ready data. D&A leaders should use the ten steps detailed in this research to design, deliver and maintain a data fabric architecture. Overview ...
Analyst(s): Robert Thanaraj | Ehtisham Zaidi | Henry Cook
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... model, and plan for the future of the enterprise, offering features to continuously evolve business, operating, and technology models. Enterprise architecture leaders should select an EA tool that supports enterprisewide visibility, long-term transformation, and business-outcome realization. Market Definition ...
... longer deploying AI effectively, but improving the quality of organizational inquiry that shapes how AI is used. Organizations that develop question architecture as a leadership capability can use AI to strengthen judgment, challenge assumptions and improve decision quality, while those that focus primarily ...
... •What the future of data and analytics looks like in 2030 — and how data becomes a new currency of value •How D&A leaders must build and scale architectures to support AI‑native decision making •How to design an operating model that keeps pace with accelerating change •How to translate vision into practical ...
... Gartner Data and Analytics Maturity Score Assess and improve your function’s readiness across strategy, governance, AI, talent, data management and analytics. Measure your function’s capabilities Benchmark performance Design a strategy and optimize your function Manage D&A outcomes and advance AI maturity ...
... As organizations accelerate toward AI-driven growth, Enterprise Architecture is at a pivotal moment. Traditional governance‑first approaches can no longer keep pace with shifting business priorities, expanding platforms and increasing cost pressures. Heads of EA must redefine their role as strategic ...
... investments in AI-ready data and analytics. Define and demonstrate the value of AI readiness for data, governance and people. Evaluate technologies, platforms and architectures needed to support specific AI-ready data requirements. Evolve data management practices to scale AI-ready data. Government leaders ...
... •Understand why context is a dynamic, situational capability rather than a static repository of enterprise data •Learn why semantic models, ontologies and conformed business metrics are critical for reliable AI reasoning •Explore how organizations can capture undocumented processes and institutional ...
... exploit paths in applications. Security architects can use this reference architecture to structure an agentic application security testing capability. Architecture Brief Architecture Use Cases Architecture Diagram Architecture Capabilities and Components Multiagent Coordination Reconnaissance Agents ...