Harnessing Artificial Intelligence for Efficiency and Sustainability in the Water Industry

被引:0
|
作者
Vredevoogd, Amy [1 ]
机构
[1] Weston & Sampson, 55 Walkers Brook Drive, Suite 100, Reading,MA,01867 978.532.1900, United States
关键词
Information management;
D O I
暂无
中图分类号
学科分类号
摘要
In municipal water management, maintaining aging infrastructure while predicting and meeting the ever-evolving needs of communities presents an ongoing challenge. Traditional approaches often struggle to keep pace with the complexities inherent in such a dynamic environment. These approaches frequently rely on the use of spreadsheets, physical filing cabinets, knowledge of experienced but aging workers, and siloed systems. However, amid these challenges emerges hope in the form of artificial intelligence (AI). Communities that embrace an AI strategy will witness the coming together of their knowledge bases, resulting in unified data repositories. These unified data repositories, combined with AI, provide insights and access to data that were previously difficult to achieve. Leaders will gain the ability to make informed decisions, leveraging the full spectrum of data to drive strategic initiatives and propel their water systems forward. In this article, we embark on a journey to explore the potential of AI to revolutionize the water industry, starting by laying the foundation with a primer on AI basics. By equipping ourselves with this knowledge, we aim to discern how AI can be effectively applied within our water utilities and municipalities. Then, through a lens of identifying assets, data analysis, and data-driven predictions, we illuminate how AI can reshape the future of water management and offer opportunities for improved efficiency, sustainability, and resilience. © 2024 New England Water Works Association. All rights reserved.
引用
收藏
页码:21 / 30
相关论文
共 50 条
  • [31] Artificial Intelligence Solutions Towards to BIM6D: Sustainability and Energy Efficiency
    Kardoka, Justas
    Paulauskaite-Taraseviciene, Agne
    Pupeikis, Darius
    INFORMATION AND SOFTWARE TECHNOLOGIES, ICIST 2022, 2022, 1665 : 117 - 135
  • [32] Special Issue on Artificial Intelligence for Sustainability
    Salas, Joaquin
    Patterson, Genevieve
    Vidal, Flavin de Barros
    IEEE LATIN AMERICA TRANSACTIONS, 2022, 20 (11) : 2309 - 2311
  • [33] Orchestrating artificial intelligence for urban sustainability
    Zhang, Dan
    Pee, L. G.
    Pan, Shan L.
    Liu, Wenyuan
    GOVERNMENT INFORMATION QUARTERLY, 2022, 39 (04)
  • [34] Startup Sustainability Forecasting with Artificial Intelligence
    Takas, Nikolaos
    Kouloumpris, Eleftherios
    Moutsianas, Konstantinos
    Liapis, Georgios
    Vlahavas, Ioannis
    Kousenidis, Dimitrios
    APPLIED SCIENCES-BASEL, 2024, 14 (19):
  • [35] Artificial intelligence, systemic risks, and sustainability
    Galaz, Victor
    Centeno, Miguel A.
    Callahan, Peter W.
    Causevic, Amar
    Patterson, Thayer
    Brass, Irina
    Baum, Seth
    Farber, Darryl
    Fischer, Joern
    Garcia, David
    McPhearson, Timon
    Jimenez, Daniel
    King, Brian
    Larcey, Paul
    Levy, Karen
    TECHNOLOGY IN SOCIETY, 2021, 67
  • [36] Applying Artificial Intelligence to Promote Sustainability
    Ta, Miriam Du-Phuong
    Wendt, Stefan
    Sigurjonsson, Throstur Olaf
    SUSTAINABILITY, 2024, 16 (12)
  • [37] On the efficiency and sustainability of the process industry
    Hinderink, AP
    Arons, JD
    van der Kooi, H
    GREEN CHEMISTRY, 1999, 1 (06) : G176 - G180
  • [38] Prediction of the efficiency in the water industry: An artificial neural network approach
    Molinos-Senante, Maria
    Maziotis, Alexandros
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2022, 160 : 41 - 48
  • [39] Harnessing artificial intelligence in radiology to augment population health
    Sim, Jordan Z. T.
    Bhanu Prakash, K. N.
    Huang, Wei Min
    Tan, Cher Heng
    FRONTIERS IN MEDICAL TECHNOLOGY, 2023, 5
  • [40] Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences
    Blake S. Wilson
    Debara L. Tucci
    David A. Moses
    Edward F. Chang
    Nancy M. Young
    Fan-Gang Zeng
    Nicholas A. Lesica
    Andrés M. Bur
    Hannah Kavookjian
    Caroline Mussatto
    Joseph Penn
    Sara Goodwin
    Shannon Kraft
    Guanghui Wang
    Jonathan M. Cohen
    Geoffrey S. Ginsburg
    Geraldine Dawson
    Howard W. Francis
    Journal of the Association for Research in Otolaryngology, 2022, 23 : 319 - 349