... Many of the scarce skills needed for today’s EA also exist in other parts of your organization. In Extend the Practice of Architecture Beyond EA, we profile several leading companies who have reached out beyond their architect team to infuse extra skills. Gartner Insights Abstract ...
Analyst(s): Enterprise Architecture Research Team
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... Enterprise architecture and technology innovation leaders have an unprecedented opportunity to shape digital business strategy today. Progressive leaders do so by surfacing and addressing the growing interconnectedness of business and technology opportunities across the broader business ecosystems. ...
... This Toolkit outlines the key steps and considerations to help enterprise architecture and technology innovation leaders establish a new EA function, or recharter an existing EA practice, and set it up to meet an organization’s digital transformation or optimization objectives. When to Use Gartner Insights ...
... Customer data platforms have evolved as key components of enterprisewide data ecosystems and have achieved ubiquity in some point solutions. CMOs should assess CDPs in the context of data management strategies, evaluate interoperability within broader architectures and clarify vendor offerings. Overview ...
... Scaling AI use cases inflates data preparation costs and complexity, introducing severe compliance and security vulnerabilities, and eroding ROI. Heads of EA must adopt reusable patterns instead of monolithic models and embed automated guardrails directly into the architecture. Insights at a Glance Strategic ...
... The core value proposition of IDP tools is shifting from data extraction to document-centric decision enablement and workflow execution with AI agents. IDP providers must adapt their architectures now or risk being disrupted by competitors that have embraced agentic capabilities. Insights at a Glance ...
... This Consult the Board survey summary features inputs from nine Technology Infrastructure Research Board members on their evolving data center strategies, high-density compute, and workload placement strategies in response to accelerated artificial intelligence (AI) and generative AI (GenAI) adoption ...
... client? Intangible and lagging outcomes complicate demonstrations of R&D’s return on investment. By blending a clear narrative structure with robust data storytelling, R&D leaders can build messages that resonate, motivate, and drive informed decisions. Insights at a Glance Impact Actions Cautions How ...
... AI agents will replace human-designed data formats with opaque, machine-optimized structures and emergent protocols. Though harder to interpret or audit, this shift sacrifices human control for dramatically greater performance, coordination, and autonomy in agent-driven systems. Insights at a Glance ...