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Navigating Data Challenges in POC Management
This chapter examines the complexities of managing data during a proof of concept (POC) phase, focusing on maintaining project goals amidst changing requirements. It discusses the significance of data quality, the integration of no-code rule engines, and the role of machine learning in real-time monitoring and anomaly detection. The speakers highlight strategies for effective data management, including collaboration with domain experts and leveraging cloud automation tools to enhance operational efficiency.