This podcast outlines the "DX-AI IoT Prism," a comprehensive framework designed for processing, analyzing, and visualizing data within a manufacturing IoT environment. The system aims to enable data-driven decision making by offering real-time monitoring and predictive analytics. It employs AI-based data analysis, automated analysis curation, and generative AI-powered question-answering to make complex IoT data accessible to non-experts. The architecture incorporates stages for data collection, processing, storage, analysis, and visualization, emphasizing core values like intelligent interaction, in-depth analysis support, and efficient decision-making. Future enhancements are planned to further expand its predictive and autonomous capabilities.