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Data-centric AI is the discipline of systematically engineering the data used to build an AI system. Through our experience of delivering hundreds of AI/ML projects to our customers, we have found that data-centric is essential for practical AI/ML. We shifted our focus to build better quality data rather than spending big resources to improve AI models. In this talk, I will share some key take-aways about how to practice data-centric AI and our use cases in applying this concept to manufacturing industry.