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CEPA Foundation Pipelines 101 Series Week 5 Event - Machine Learning Applications in Pipeline Risk Assessment
Join the Young Pipeliners Association of Canada (YPAC) for Week 5 of the Pipelines 101 series. The evening will begin with a presentation by Ryan Stewart titled Machine Learning Applications in Pipeline Risk Assessment.
● Date & Time: October 6, 2021, from 7:00 PM – 8:00 PM (MST)
● Location: Zoom Webinar
● Cost: Free (Advance Registration Required)

About The Presentation:
From self-driving cars to voice assistants built into cell phones, machine learning methods have enabled significant technical achievements in recent years, however these methods are still in the early stages of application in conventional and regulated industries. This presentation will provide an overview of machine learning methods and will discuss best practices for a successful application in pipeline engineering. Subject matter discussed will include typical causes of model inaccuracy, the challenge of model interpretability, current use cases of machine learning in finance, medicine, and government along with examples of how machine learning models can be used to enhance the risk assessment of transmission and distribution pipelines.
Topics to cover:
● What is AI?
● How do AI projects work?
● How do I evaluate an AI project?
● How can AI be used in the pipeline industry?
● How can I get started with AI?
● Resources for Continued Learning

Oct 6, 2021 07:00 PM in Edmonton

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Ryan Stewart
Junior Project Engineer (EIT) @Integral Engineering
Ryan Stewart graduated from the Integrated Engineering Program at the University of British Columbia’s in 2019, where he specialized in Pipeline Engineering. UBC’s Integrated Engineering program allows students to complete projects with students of different interests, varying from environmental engineering to electrical and computer engineering. Ryan participated in UBC’s co-op program, where he gained industry experience working at TC Energy. In Ryan’s three years working in the industry, he has been involved in design, construction, and operation of pipelines. Ryan currently works at Integral Engineering as a Junior Project Engineer (EIT) where he builds risk models for pipeline companies using statistical and machine learning methods.