Session #12: AI for Water Management: How to Turn Your Data Into Insights

ON DEMAND RECORDING

Expires Wed. Oct, 19 2022

Overview:

Aging infrastructure, urbanization trends and climate change are some of the key risks facing water supplies around the world, and present complex challenges to governments and utilities. In the era of Artificial Intelligence, many municipalities across Canada have started to leverage their existing data to improve the remaining life of their water infrastructure assets. This session will present some practical use cases where Data Science can be leveraged to turn your data into insights, as well as relatively simple methods and check-lists you can use to extract useful trends from your data and improve its overall quality.

At the completion of this one-hour OJT session, participants will be able to demonstrate the following:

• • • • • • • Better understand the history of Artificial Intelligence and the reasons behind its recent surge in popularity
            • The main types of AI models that can be used for Water management
            • How to quality-control your water network and break history data in-house
            • A relatively straightforward method to detect the influence of temperature on your watermain breaks
            • How smart algorithms can be used to infer missing data – when possible

  • Facilitator:

    Naysan Saran

    Our facilitator is Naysan Saran, co-founder and CEO of CANN Forecast (CANN), a company that helps cities to transition towards a proactive approach to water management. CANN was founded by the winning team of the 2016 AquaHacking challenge, and is now collaborating with partners such as the Montreal Institute of Learning Algorithms, McGill University, as well as more than 20 municipalities across Canada and France. Prior to founding CANN, Naysan worked as a scientific programmer at Environment Canada, where she participated in the development and deployment of a machine learning based approach for the post-processing of numerical weather forecasts. Naysan has a background in both Computer Engineering and Mathematics, and is passionate about using artificial intelligence to help solve environmental challenges.

     

    Logistics:
    These 1-hour virtual sessions are offered every alternate Thursday starting at 2:00 pm.  Sessions are complimentary to all OMWA members and the fee for non-members is $30.00 CAD plus HST per person per session.  

    Questions:
    If you have any specific questions regarding this OJT session, please feel free to submit them when you register and we will provide them to the workshop facilitator.   

    The OMWA will provide a certificate recognizing participation in these On the Job Training sessions.
    Attendance may also qualify as a Continuing Knowledge Activity for the PEO PEAK program