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RobobAI CTO Highlights Importance of Data Quality in AI Projects

RobobAI CTO Dave Curtis emphasizes the crucial role of data quality in AI projects, highlighting the need for accurate and complete data for successful analytics and AI predictive models. Curtis advises organizations to prioritize their data foundations before diving into AI initiatives.

This news matters because it sheds light on a critical issue facing organizations as they adopt AI technology. The quality of data is crucial for the success of analytics and AI projects, and addressing data deficiencies can lead to significant ROI by reducing manual effort. Understanding the importance of data foundations is essential for companies looking to leverage AI technology effectively.