Unveiling the Data Paradox in AI Adoption Challenges
Poor data quality and undetected errors are costing over 90% of organizations financially, while simultaneously slowing down workflows and limiting the effectiveness of AI adoption. To unlock real value from AI and digital transformation, companies must prioritize strong data governance, transparency, and reliable data foundations.
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