AI Case Studies in Sewer Inspection and Pavement Assessment
This live virtual program will explore the use of non-generative AI tools in public works through case studies on sewer inspection and pavement assessment. Presenters will discuss strategies for implementing AI tools in the field, the importance of data assessment, and the impact of AI tools on new project design. Presenters will share insights and lessons learned from each project phase and provide attendees with tips to research and select the right AI tools.
Learning Objectives:
After completing this course, participants will be able to:
- Identify resources needed to implement AI tools in the field, including budgets, training, and staffing.
- Apply AI tools across three key phases—implementation, assessment, and design.
- Determine the suitability of AI technologies for your project and workplace.
Links/Handouts:
Speakers/Panelists
Ahmad Soufiani
Senior Engineering Manager
The City and County of Denver
Brian Zavareh
University of Colorado Denver
Tim Plath, PE, PTOE
Deputy Director of Public Works
City of Eagan, Minnesota
Moderator
Margaret Medellin
Associate Vice President
Hazen and Sawyer
This program is hosted by the Engineering and Construction Committee.
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Related Resources
Proficiency Levels
Introductory
Focuses on a general or broad overview of the topic, awareness of basic factual recall. Limited experience of the subject matter is necessary to understand content areas.
Applied
Focuses on practical implementation of technical steps or strategies, some prior knowledge and experience of the topic is necessary.
Advanced
Mastery of basic concepts associated with an area has been obtained. Focuses on understanding nuances, advanced concepts, and intricacies with implementation within knowledge area. Strong understanding of how the concept impacts other factors or areas of operations.
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