To ensure the good condition of sewer assets, it is necessary to move toward an asset
management approach, where taking care of the system´s maintenance and performance
becomes a priority. This training explores the standard techniques for gathering information
on wastewater pipelines, their strategic integration into asset management, and its use for
smart decision-making strategies for the maintenance and rehabilitation using trenchless
technologies. This course is designed for those involved in the operation and management of
wastewater and stormwater pipelines.
Provides 0.4 CEU credits.
Attendees receive Certificate of Participation released by The University of Texas at Arlington - UTA.
3 conference hours and one hour guided visit to the Exhibit Hall.
Add-On to any registration level: $150
Introduction to Artificial Intelligence, where to start, how to best apply it to the underground industry, Best practices and Application cases. How to apply A.I. to increase productivity and decision-making processes.
Introduce the attendees to Artificial Intelligence for the underground Industry. Introduction to best practices and how to apply it to maximize investment and productivity. A.I. Application for quality control, as a training tool and workload planning and asset management.
1st Hour
Introduction to A.I and Best practices.
1. Introducing attendees to A.I and available technologies for the underground infrastructure industry
2. How to get the most of A.I by applying best practices
3. A.I. for pipelines and sewer structure.
2nd Hour
How to apply A.I in decision-making and workforce management
1. Understanding A.I results and data Q/A .
2. Decision-making solutions utilizing A.I.
3. Reporting and Tools for Asset Management utilizing A.I.
Provides 0.2 CEU credits.
Add-On to any registration level: $95
Smith Rangel, M.Eng.
Leticia Eberly
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