Session 3 - Data-Driven Decision-Making
August 03, 2022
August 03, 2022
September 27 | 1:00 pm - 2:30 pm MT
Many of us are concerned with rising labor costs and an increasing demand to monitor natural systems as climate change accelerates. In this session, we will discuss how advanced satellite and remote sensing methods can help to address these issues.
Presentations:
Roadways are the largest and most valuable built asset around the world. The problem? Millions of miles of roadway have thousands of different owners, traffic amounts, and vehicle loads, requiring a comprehensive asset management tool. Stantec’s AtlasAM leverages decades of industry experience in pavement management expertise, tools, technology and software to meet this complex and very important challenge.
Time: 1:00 pm - 1:15 pm MT
Presenter: Allan Venema
Ensuring dam safety is a critical issue, and information is paramount to preventing failures. But at dams across the country, the way data is being collected and stored is disparate, resulting in confusion. We’ve reimagined data collection to inform proactive decision making by amassing great amounts of data into a digital platform that allows for easier access, analysis and management of the most critical information.
Time: 1:15 pm - 1:30 pm MT
Presenter: Cory Bolen
With distant water sources, SA Water’s energy needs are great and costly, leading to the development of the Zero Cost Energy Future Program. This integrated program involved seven initiatives to drive down costs and manage electricity into the future. We’ll discuss how we’re optimising operational schedules for assets while balancing the complexities behind the meter, driving down costs, and delivering an easy-to-use application.
Time: 1:30 pm - 1:45 pm MT
Presenter: Alana Duncker
Automated processes aren’t new at large facilities and utilities, but past efforts have shown limited success with automating controls of a treatment plant lifecycle. By developing a pilot plant automation scenario using Machine Learning techniques and accurate operational algorithms, our clients can run their assets reliably. See how our research and approach to automating the functions of a water treatment facility have potential to automate processes across industries.
Time: 1:45 pm - 2:00 pm MT
Presenter: John Abrera
With rapidly changing environmental, economic, and societal conditions, it’s difficult to plan for our communities’ long-term needs. Using key assumptions and integrating various datasets to create and compare multiple scenarios in real time, our Financial Analysis and Management System can help you address rate increases, cost allocations, operations, and capital investment in the face of these changing conditions.
Time: 2:00 pm - 2:15 pm MT
Presenter: Andrew Burnham
With catastrophic events growing, we need innovation. Flood Predictor uses Machine Learning trained with modeling and engineering studies to analyze flood hazards, project future climate scenarios, incorporate local adaptation, and validate against government records. Officials can quickly understand regional flood risks in near real time, and inform the public of high-risk areas and optimal routes to safety ahead of major storms.
Time: 2:15 pm - 2:30 pm MT
Presenter: Katherine Osborne
Allan Venema
Principal, Business Center Practice Leader
Cory Bolen
GIS Discipline Manager
Alana Duncker
Market Leader—Digital Services
John Abrera
Digital Practice, Operational Analytics Leader
Andrew Burnham
Vice President, Management and Technology Sector Leader
Katherine Osborne
Senior Associate, Business Development