Chief Data & Analytics Officers (CDAOs) are increasingly recognized as integral to the success of generative AI deployments. A Gartner report warns that by 2027, three-quarters of CDAOs who fail to demonstrate value in AI leadership risk losing their C-level positions. Effective implementation of genAI requires meticulously preprocessed data. Despite a significant percentage of executives expressing confidence in their data and analytics functions, many lack the necessary metrics to substantiate this confidence. As AI becomes more central to business strategies, the role of CDAO expands, yet its precise functions remain ambiguous.
The integration of AI into business strategies has further solidified the CDAO's role as a top-tier position within companies, driving better business outcomes.
This year is a critical one for CDAOs, as AI presents a new opportunity for them to establish their rank in AI leadership.
Over the past couple of years, case studies have shown one in three AI projects fail to reach completion or produce an ROI because of unclean data.
Without preprocessing data to ensure it's organized and error-free, attaining ROI from any genAI project is next to impossible.
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