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Premium Research Apr 2026
... AI has made “context” a focal point for AI initiatives, but data and AI teams use the term to mean different things. Confusion arises because these differing interpretations are often treated as equivalent, even though they serve different purposes and are relevant for different lengths of time. This ...

Analyst(s):   Lydia Ferguson
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Premium Research Jan 2026
... exponential growth of data, rapid adoption of artificial intelligence, and the increasing complexity of modern enterprise data environments have stressed the importance of designing agile, scalable, and integrated data governance technology stacks. D&A leaders need to design the data governance stack to ...

Analyst(s):   Guido De Simoni
Premium Research Jan 2026
... survey summary features inputs from five Data and Analytics Research Board members regarding their approaches to managing sensitive data in nonproduction environments. It discusses data remediation methods, best practices, and challenges faced in protecting data in nonproduction environments. Overview ...

Analyst(s):   Consult the Board Research Team
Premium Research Mar 2026
... H2 2025 shows the momentum behind AI-driven layoffs has materially slowed. “Reduce” remains approximately 1% of job impacts (flat vs. H1). “Restrain” falls to approximately 0.3%. Most actions reflect macro-driven freezes and consolidation of workforce moves in H1, not automation-led cuts. Insights at ...

Analyst(s):   Tori Paulman   |   Val Sribar   |   Emily Rose McRae   |   Helen Poitevin   |   Nate Suda
Research Feb 2026
... Access Insights Already a Gartner client? As advancements in GenAI and business transformations raise expectations, D&A leaders face growing pressure to provide and prove value. D&A leaders must reframe their function and roles as value creators to find new opportunities at an enterprise scale. Insight ...

Analyst(s):   Jenna Goodrich   |   Cameron Roche
Research Dec 2025
... client? Supply chains struggle to stay adaptable while scaling AI due to fragmented data ownership and rigid governance. CSCOs must assert master data ownership, combine hybrid and adaptive data governance, and manage data uncertainty to secure both business outcomes and ensure AI transformation success ...

Analyst(s):   Mario Almanza Turrado   |   Julia Heyman
Premium Research Nov 2024
... transformation projects, life science companies only achieve the full projected benefits in one out of three cases. CSCOs can use this research to benchmark their portfolios against industry investment trends and learn why certain technologies are currently favored. Overview Data Insights Gartner Recommended ...

Analyst(s):   Michael Dominy   |   Corwin Hee
Research Nov 2025
... Access Insights Already a Gartner client? Data and analytics leaders can use data-enabled storytelling to influence business stakeholders and drive measurable value from data, analytics and AI. This research equips them with practical communication skills to increase their influence on the business stakeholders ...

Analyst(s):   Alan D. Duncan
Research Nov 2025
... undergoing a significant evolution, shifting from augmented data catalogs to metadata “anywhere” orchestration platforms, acting as technology enablers. D&A leaders must consider the market evolution and vendor landscape as they start data and AI journeys. Strategic Planning Assumptions Market Definition ...

Analyst(s):   Melody Chien   |   Guido De Simoni   |   Thornton Craig   |   Roxane Edjlali
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