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Beyond the Hype: Real-world AI Governance and Data Quality Essentials

Published by Soda

The document provides a detailed exploration of AI governance and its interconnection with data quality and governance frameworks. It emphasizes the critical role of high-quality, governed data in ensuring reliable and ethical AI outputs, essential for building trust and accuracy in AI models. Practical strategies are outlined for integrating data governance into AI initiatives, fostering responsible AI use, and addressing challenges like bias and data trustworthiness. This guide empowers IT, AI, and business teams to align their governance practices, ensuring scalable, transparent, and innovative AI adoption in modern organizations.

 

 

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Related Categories Storage Management, Artificial Intelligence, AI Ethics, Machine Learning Models, AI in Business, AI Governance, AI Regulations, AI Applications, AI Infrastructure, Computer Vision, Image Recognition, Object Detection, Facial Recognition

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