Successful AI Relies on Data Foundations: Gartner Reports 4x Higher Spend Among Leaders

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Organizations with successful AI initiatives invest significantly more (up to four times) in foundational areas like data quality, governance, and AI-ready personnel, according to a Gartner report. Despite this, only 39% of technology leaders are confident in their current AI investments’ financial impact. Gartner outlines six key shifts for Data & Analytics (D&A) leaders through 2030, emphasizing AI-first strategies, human-agent collaboration, treating context as critical infrastructure, scaling connected engineering practices, establishing trust, and moving beyond ROI to value compounding.

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