To drive true business impact with GenAI, data quality strategies must be use-case-specific and aligned with business goals.
AI can improve data integration by automating and quickly accomplishing what used to be manual or time-consuming tasks.
Those closest to AI implementation see the dangers—but leadership remains focused on AI investment without ensuring data quality. Methodology The Qlik AI Survey was conducted by Wakefield ...
Data Quality is Not Being Prioritized on AI Projects, a Trend that 96% of U.S. Data Professionals Say Could Lead to Widespread Crises New Qlik research finds that 81% of companies still struggle ...
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