
Ray Hsu, VP of Manufacturing Solutions at RapidCanvas, demonstrates how to use AI to analyze and optimize energy consumption in manufacturing. Learn to clean data, build predictive models, and create interactive apps for energy insights—all without coding expertise.
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With more than a decade of executive leadership in the AEC industry, Jenny brings deep understanding of the construction lifecycle from pursuit through project delivery across office and field operations. Drawing on more than 25 years of leading enterprise transformation, she helps companies use AI to win more work, reduce risk, and turn complex construction data into a competitive advantage.
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Most internal AI projects fail due to complexity, poor processes, or lack of user trust, not technology. Building reliable AI requires starting simple, structuring knowledge clearly, prioritizing explainability, and designing for trust before adding sophistication.



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Most internal AI projects fail due to complexity, poor processes, or lack of user trust, not technology. Building reliable AI requires starting simple, structuring knowledge clearly, prioritizing explainability, and designing for trust before adding sophistication.



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High employee turnover often stems from poor management, not workers. Dr. Yeager’s “Mentor Mindset”—pairing high standards with strong support—boosts engagement and retention. Using agentic AI, managers receive real-time guidance, scaling effective, respectful leadership and transforming workplace culture.

