Artificial Intelligence for Water and Wastewater Utilities

Artificial Intelligence for Water and Wastewater Utilities

August 15, 2024 | Online :: Central Time

Water and wastewater companies and utilities face numerous challenges in efficiently managing their infrastructure, ensuring water quality, minimizing losses, and responding effectively to emergencies. Traditional methods often lack the scalability, accuracy, and timeliness required to address these challenges in a rapidly evolving landscape. Additionally, concerns about cybersecurity threats, resource optimization, and customer satisfaction further compound the complexity of operations.

This one-day course on artificial intelligence for water and wastewater utilities provides a comprehensive solution to these challenges by introducing participants to cutting-edge AI technologies and applications tailored to the water industry. Through a series of interactive sessions and practical demonstrations, attendees will learn how AI can revolutionize various aspects of water utility management, including digital twin modeling, water quality monitoring, leak detection, asset management optimization, and predictive emergency management. Moreover, participants will gain insights into the following:

  • leveraging AI for improving customer engagement
  • streamlining operations
  • achieving substantial OPEX and CAPEX savings

By embracing AI-driven approaches, water and wastewater utilities can enhance efficiency, resilience, and customer satisfaction while safeguarding critical infrastructure from cyber threats and maximizing resource utilization for a sustainable future.

Learning Outcomes

  1. Identify challenges in water utilities and apply AI solutions for infrastructure optimization and pipe failure prediction
  2. Explore the integration of smart sensors and IoT devices for real-time monitoring and leverage digital twin technologies
  3. Practice skills in AI-driven predictive analytics for enhanced emergency response in water utilities
  4. Discuss AI strategies to enhance customer engagement and drive data-informed decision-making processes
  5. Optimize operations and resource allocation through AI-driven knowledge management techniques
  6. Safeguard water utility infrastructure and data with AI-driven cybersecurity measures

Agenda

Thursday, August 15, 2024 : Central Time

8:45 – 9:00 a.m.
Log In and Welcome

12:00 – 12:30 p.m.
Lunch Break

9:00 a.m. – 4:00 p.m.
Course Timing

 

Digital Twins and System Models

  • Modeling and simulation
  • Optimizing design
  • Monitoring
  • Maintenance processes for enhanced performance

Water Quality and Management

  • Implementing AI applications for continuous monitoring of water quality parameters
  • Water treatment process
  • Water management process

15 Minute Morning Break

Smart Sensors and IoT Integration

  • Smart sensors
  • IoT devices
  • Real-time monitoring and data collection
    • GIS
    • SCADA systems

Cybersecurity in Water and Wastewater Utilities:

  • Challenges in water utilities through the implementation of AI-driven measures

Lunch Break

Predictive Emergency Management for Water and Wastewater Utilities

  • Advanced predictive analytics
  • Emergency response and management in water utilities

Improve Customer Engagement and Satisfaction

  • Customer interaction and engagement
  • Decisioning intelligence powered by AI algorithms

15 Minute Afternoon Break

Enterprise and Knowledge Management

  • Optimizing information access
  • Streamlining operations for enhanced efficiency

OPEX and CAPEX Savings

  • Operational and capital expenditure savings
  • Resource allocation
  • Improving overall financial efficiency

Instructor

Satish Tripathi, P.E., Managing Engineer, Water Infrastructure Planning (WIP), Houston Water, City of Houston

Satish Tripathi, P.E., holds the position of Managing Engineer (Lead, Water Planning Engineer) with the City of Houston, where he oversees the planning of water infrastructure to accommodate the needs of over 5 million people in the Greater Houston Region. Currently engaged in a Ph.D. program in Water Engineering at Texas A&M University, College Station, Mr. Tripathi brings to the table a solid educational foundation with both a master’s and a bachelor’s degree in Civil Engineering.

With over 17 years of experience in hydraulic modeling and the planning of water and wastewater systems, his expertise is well-recognized. Known for his innovative thinking and problem-solving capabilities, Mr. Tripathi is at the forefront of Houston Water’s “Digital Twin” initiative, aiming to integrate the latest technological advancements into the utility. His leadership roles include co-leading the SWAN Digital Twin Architecture Group and being appointed by the AWWA Council to the AI Regulation committee to advocate for the water sector. Mr. Tripathi has pioneered several AI models in water planning for Houston Water and was recently nominated for the prestigious Duke’s Water Innovation Leadership Development (WILD) Fellowship for the 2022-2023 cycle

Online Delivery

We will be using Microsoft Teams to facilitate your participation in the upcoming event. You do not need to have an existing Teams account in order to participate in the broadcast – the course will play in your browser and you will have the option of using a microphone to speak with the room and ask questions, or type any questions in via the chat window and our on-site representative will relay your question to the instructor.

  • Microsoft recommends downloading and installing the Teams app if possible. You may also use the Edge browser or Chrome.
  • You will receive a separate email with a unique link to a personalized landing page which will include links to join all sessions of this event.
  • If you are using a microphone, please ensure that it is muted until such time as you need to ask a question.
  • The remote meeting connection will be open approximately 30 minutes before the start of the course. We encourage you to connect as early as possible in case you experience any unforeseen problems.

Register

Please Note: This event is being conducted entirely online. All attendees will connect and attend from their computer, one connection per purchase. For details please see our FAQ

If you are unable to attend at the scheduled date and time, we make recordings available to all attendees for 7 days after the event

REGISTER NOW FOR THIS EVENT:

Artificial Intelligence for Water and Wastewater Utilities

August 15, 2024 | Online
Individual attendee(s) - $ 895.00 each

Volume pricing also available

Individual attendee tickets can be mixed with ticket packs for complete flexibility

Pack of 5 attendees - $ 3,580.00 (20% discount)
Pack of 10 attendees - $ 6,265.00 (30% discount)
Pack of 20 attendees - $ 10,740.00 (40% discount)

Your registration may be transferred to a member of your organization up to 24 hours in advance of the event. Cancellations must be received on or before July 11, 2024 in order to be refunded and will be subject to a US $195.00 processing fee per registrant. No refunds will be made after this date. Cancellations received after this date will create a credit of the tuition (less processing fee) good toward any other EUCI event. This credit will be good for six months from the cancellation date. In the event of non-attendance, all registration fees will be forfeited. In case of conference cancellation, EUCIs liability is limited to refund of the event registration fee only. For more information regarding administrative policies, such as complaints and refunds, please contact our offices at 303-770-8800

CEUs

Credits

AP_Logo

EUCI is accredited by the International Accreditors for Continuing Education and Training (IACET) and offers IACET CEUs for its learning events that comply with the ANSI/IACET Continuing Education and Training Standard. IACET is recognized internationally as a standard development organization and accrediting body that promotes quality of continuing education and training.

EUCI is authorized by IACET to offer 0.6 CEUs for this event

Requirements for Successful Completion of Program

Participants must log in each day and be in attendance for the entirety of the course to be eligible for continuing education credit. 

Instructional Methods

Power point presentations and open discussion and question and answer sessions.


Upon successful completion of this event, program participants interested in receiving CPE credits will receive a certificate of completion.

Course CPE Credits: 7.0
There is no prerequisite for this Course.
Program field of study: Specialized Knowledge
Program Level: Basic
Delivery Method: Group Internet Based
Advanced Preparation: None

CpeEUCI is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site: www.nasbaregistry.org

 

Who Should Attend

The event is ideal for a diverse range of companies involved in the water and wastewater industry, including water utilities, engineering consulting firms, technology solution providers, environmental services companies, and government agencies. Additionally, professionals from research institutions, academia, IoT and sensor manufacturers, software development companies, and cybersecurity firms will find value in attending.

  • Chief Technology Officer (CTO)
  • Director of Operations
  • Water/Wastewater Engineer
  • Utility Manager
  • Data Scientist
  • IT Manager
  • Asset Manager
  • Environmental Engineer
  • Cybersecurity Analyst
  • Customer Experience Manager