説明
Project management for construction can be very challenging. It involves intensive coordination among teams and stakeholders throughout all project phases, from design review to project delivery. Efficient management of construction documents, such as drawings, designs, issues, RFIs, change orders, etc., is the key for project success. Research has shown that more than 50% of RFIs have a root cause in design issues and documentation error that could be solved by improving design review. In this session, we look at how a data driven approach can help project teams including VDC managers, project engineers, superintendents and project managers stay on top of critical high risk items and take action. We explore how technologies such as Construction IQ can leverage knowledge and past experience gained through mining tons of data and apply that to prioritize issues and RFIs, and group them into actionable categories for faster and more focused processing, with the ultimate goal of mitigating project risks and bettering project performance. Hear from AECOM and Danis Construction how they are connecting design to construction and their use of Construction IQ, and how it turns plain text into insights about project risk and makes the constructability review process and project management easier.
主な学習内容
- Discover the impact and applications of AI and machine learning in construction project management
- Learn about BIM 360 Construction IQ and what's behind the scene
- Learn how Construction IQ uses AI and machine learning to identify risks and improve project control
- Learn from an industry leader talking about their applications and the benefits of using Construction IQ for project management
スピーカー
Stella XuStella is a data scientist within Autodesk Construction Solutions (ACS). She earned a PhD degree in civil and environmental engineering from MIT, and is passionate about data mining and machine learning. She joined the ML Innovation/Construction IQ team in 2018, and started to apply her domain knowledge as well as machine learning skillsets to solve real world challenges in construction. She has been working on several projects and products related to construction quality, safety and project management. Currently, she is building and productizing deep learning models for predicting and minimizing risks for construction projects using cutting-edge natural language processing techniques.
Matt AnderleMatthew is an Associate Vice President and the Director of Digital Strategy for the Digital Practice & Technology business line with AECOM. He is a BIM and technology evangelist with over 23 years of experience establishing global digital workflows, developing computational approaches to AEC industry processes, and delivering BIM focused toward enriched Asset Management technology integrations. Matthew developed the AECOM analytics engine for the digital project lifecycle, leveraging metrics to improve BIM execution, model performance, and data validation, which is utilized globally. He pioneered innovative automation workflows and security policies in a common data environment addressing key stakeholders by responsibility with an emphasis toward AECOM market sectors. Matthew is recognized as a global leader and has received several awards for the innovative and efficient implementation of digital delivery processes, including maintaining cost, schedule, quality assurance, and digital certainty for a wide variety of project types. Matthew established the Digital First Strategy for AECOM Americas and supports the execution of digital delivery across the geography. Matthew also directs and manages complex infrastructure project teams on BIM collaboration workflows, enabling global teams to work as one entity.
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