This week, we sit down with Gulai Shen of the Harvard Center for Green Buildings and Cities. Gulai helps us unpack the complex world of AI-driven building management, focusing on the many factors that influence how and where AI can be applied effectively with a people-centric focus. We dive deep into the critical role of data quality, discussing how clean, reliable data is the single most important factor for successful AI implementation. Gulai explains that an AI system is only as good as the information it's trained on, and how poor data can lead to flawed decisions, wasted energy, and even compromised safety.

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