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        A Strategic Digital Transformation for the Water Industry

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        Contributor(s)
        Grievson, Oliver (editor)
        Holloway, Timothy (editor)
        Johnson, Bruce (editor)
        Language
        English
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        Abstract
        This book is a compilation of the knowledge shared and generated so far in the IWA Digital Water Programme. It is an insightful collection of white papers covering best practices, linking academic and industrial studies/insights with applications to give real-world examples of digital transformation. These White Papers are designed to help utilities, water professionals and all those interested in water management and stewardship issues to better understand the opportunities of digital technologies. This book covers a plethora of topics including: Instrumentation and data generation Artificial intelligence and digital twins The digital transformation and public health Mapping the digital transformation journey into the future With these topics, the aim is to present an all-encompassing reference for practitioners to use in their day-to-day activities. Through the Digital Water Programme, the IWA leverages its worldwide member expertise to guide a new generation of water and wastewater utilities on their digital journey towards the uptake of digital technologies and their integration into water services.
        URI
        https://library.oapen.org/handle/20.500.12657/59116
        Keywords
        Water supply & treatment
        DOI
        10.2166/9781789063400
        ISBN
        9781789063400, 9781789063394
        Publisher
        IWA Publishing
        Publisher website
        https://www.iwapublishing.com/
        Publication date and place
        London, 2022
        Classification
        Water supply and treatment
        Pages
        117
        Public remark
        Funder name: IWA
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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