Building Trustworthy AI Starts with Data Confidence, According to Protiviti Study

Core Insights - The report emphasizes that strong data capabilities are essential for AI success, with 69% of organizations with high AI maturity expressing confidence in their data capabilities [1][3] - Effective governance, data engineering, analytics, and training are crucial for advancing AI maturity and improving ROI [1][3] AI Maturity Stages - Organizations progress through five stages of AI maturity, with Stage 5 representing the highest level where 97% of organizations report confidence in their data management capabilities [2][6] - At Stage 1, organizations recognize AI's potential but lack strategic initiatives, while by Stage 5, AI drives significant business transformation [6][7] Data Confidence and ROI - High data confidence correlates with exceeding AI investment expectations, as organizations with robust data governance are more likely to achieve meaningful outcomes [4][5] - 74% of organizations conduct regular data audits, a significant increase from 36% at Stage 1, indicating improved data practices [5] Barriers and Challenges - Despite advancements, 57% of AI-mature organizations still face challenges related to inadequate data governance [12] - Security and compliance concerns increase with maturity, with 59% of Stage 5 organizations citing these as top issues, up from 41% at Stage 1 [12] Sector and Role Insights - The technology and financial services sectors lead in data trust, while manufacturing and distribution lag behind [12] - Confidence in data increases with seniority, peaking at the C-suite level, indicating a correlation between leadership and data governance effectiveness [12]