... splitting into two strategies: platformization or agentification. CMOs can use this research to grasp these shifts and their impact on future customer data platform buying strategies. Insights at a Glance Strategic Planning Assumptions Issue Context Impact Brief More Detail Gartner Recommended Reading — ...
Analyst(s): Audrey Brosnan | Lizzy Foo Kune | Julia Multedo
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... include the impact of AI on the server market and data centers. There are multiple aspects of this ranging from AI server types (ie GPU vs ASIC), customer deployment types (ie public cloud vs on-prem) as well as implications of AI models on system architecture and capacity requirements. Other areas of coverage ...
... Traditional data quality approaches and dimensions for structured data do not apply to unstructured data, which is leading to challenges among business stakeholders and technical professionals when building AI models. This note will define the parameters for unstructured data quality to provide a baseline ...
... Business architecture bridges the gap between an enterprise business model and enterprise strategy on one hand, and business functionality on the other. Peer members discuss the possibility of striking a balance when it comes to aligning business architecture within the organization. Overview Peer Strategies ...
... This research describes naming conventions for datasets that support AI use cases, engineering use cases and user-facing programs such as data literacy and data governance. Technical professionals should use these conventions. Overview Analysis Recommendations Conclusion Gartner Recommended Reading ...
... Please find below all of the presentations associated with the Gartner Research Board for Global Chief Data & Analytics Officers Cycle 3 2026 Meeting. Gartner Insights Abstract ...
... Digital transformation initiatives require digital platforms that enable scalable solutions and digital innovations. Findings from our 2019 Platforms Survey show that EA and technology innovation leaders play a critical role in these platforms’ strategy, design, build and continuous improvement. Over ...
... Enterprise architecture and technology innovation leaders recognize learning agility as an essential competency. However, data shows they too often fail to hire for or develop it. This research describes simple steps that can have an outsized effect on developing the EA team’s learning agility. Overview ...
... Enterprise architecture programs are undergoing massive change. EA and technology innovation leaders should follow the steps outlined in the attached presentation to keep up to date with what’s trending in EA so as to ensure success and organizational engagement. Overview Data Snapshot Data Insight What ...