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Research Jun 2026
... draft budget and last week’s authorized change to the incident response policy as equally valid. That realization was the moment we stopped hiding our data hoard in the cloud and started surviving the RAG-fueled intervention. Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Rachel O'Farrell
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Premium Research Oct 2025
... 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 ...

Analyst(s):   Joe Maguire
Premium Research Jun 2026
... Scaling D&A is a top priority for building a data-driven organization that can support AI initiatives. What does the headcount look like? How many FTEs do organizations need? D&A leaders can use ratios and size benchmarks as an initial reference, but should look beyond them to develop a more effective ...

Analyst(s):   Michael Gabbard   |   Jorg Heizenberg
Premium Research Jul 2026
... 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
Premium Research Jul 2025
... features inputs from 11 Data and Analytics Research Board members regarding their approaches to building trusted data environments to support artificial intelligence (AI) use cases. It discusses members' approaches to integrating their trusted data environment strategies with AI-ready data strategies, the challenges ...

Analyst(s):   Consult the Board Research Team
Premium Research Oct 2025
... Traditional data governance practices, and broadly wherever data is reused, can create significant risks of invalid conclusions for AI implementations, leading to increased costs. Data and analytics leaders must adapt data management to meet the overwhelming demand for representative data to support AI ...

Analyst(s):   Mark Beyer   |   Thornton Craig   |   Roxane Edjlali
Premium Research Sep 2025
... Generative AI adoption depends on pipelines that do more than move data. This research explains how to build retrieval-augmented generation pipelines that handle different types of content, monitor drift, enforce metadata quality, and balance performance with budget constraints. Overview Analysis Guidance ...

Analyst(s):   Mayank Talwar
Premium Research Oct 2026
... 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 ...

Analyst(s):   Research Board Research Team
Research Jan 2026
... Many organizations incur avoidable data-related costs due to redundant ETL pipelines, poor data retention hygiene, and siloed inconsistent master data. D&A leaders must evaluate an MDM strategy as a catalyst for streamlining and optimizing costs through master data governance Insights at a Glance Impact ...

Analyst(s):   Stephen Kennedy   |   Dr. Usen Uboh
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