Description
Key Learnings
- Gain an overview of business initiatives and pain points, KPIs for projects and users, and metrics developed and their measurements.
- Explore evaluations of the Autodesk Data Connector for customization, and look at an account user's management tool built based on Data Connector.
- Learn about metrics and the designing process for health-check scoring systems, including projects, users, services, and issues.
- Learn about value added to customers, and get recommendations on products' strategies for diagnostic and predictive analytics.
Speaker
- Liang GongHe is a structural engineer by training (PE) with a background in preconstruction/estimating, construction management, BIM/VDC and data science. He helps customers leverage the data they produce through the design and build process to generate actionable insights including forecasting and scalability. He also automates customized workflows with ACC Connect and Autodesk Platform Services. After graduating from Duke University, Liang is currently working on his second master's degree in Applied Data Science at University of Chicago, focusing on AI/ML as a part-time student.
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