To drive true business impact with GenAI, data quality strategies must be use-case-specific and aligned with business goals.
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 ...
By addressing key challenges such as inconsistent quality control, inadequate documentation, and resource-intensive testing, ...
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 ...
New Qlik research finds that 81% of companies still struggle with AI data quality, putting ROI of AI investments and business stability at risk PHILADELPHIA, March 12, 2025--(BUSINESS WIRE)--Qlik®, a ...