Artificial intelligence (AI) is rapidly transforming industries worldwide. The solid waste sector is no exception. From routing optimization and predictive analytics to waste sorting, service verification, and asset management, AI-driven technologies are reshaping how solid waste operations are managed and executed.
This live virtual program will explore the expanding role of AI within the solid waste industry, highlighting current applications, innovations, and practical strategies for safe and efficient implementation. Participants will gain insights into how various AI systems can work together to improve operational performance, enhance decision-making, and support sustainability goals.
Industry experts will share real-world examples of how their communities have successfully implemented AI in solid waste management services. They will discuss the challenges faced, lessons learned, and measurable outcomes achieved through these technology-driven initiatives.
After completing this course, participants will be better able to:
- Identify key applications of AI technologies within the solid waste sector.
- Evaluate the benefits and challenges associated with integrating AI into solid waste operations.
- Analyze strategies for effectively using AI in solid waste management.
Links/Handouts
Speakers
Robert Swain
Public Works Manager
City of Grand Rapids
Nora Dempsey
Global Business Development Advisor
Nord Engineering
Giuseppe Roberto Marseglia
Board Member
Waise Waste
Moderator
Tyler Bandemer
Solid Waste Manager
City of Loveland, Colorado
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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.
Program Types
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Virtual Program
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