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Filtering by: College Engineering and Applied Science Remove constraint College: Engineering and Applied Science Creator/Author Jee, Jay Remove constraint Creator/Author: Jee, Jay

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  • Industrial AI:is it manufacturing’s guiding light?

    Document thumbnail: Industrial AI:is it manufacturing’s guiding light?
    Type:
    Document
    Description/Abstract:
    In this research, Industrial Artificial Intelligence (IAI) is discussed as the most promising technology for enabling and realization of the next industrial revolution. The key enablers for this transformative technology along with their significant advantages are discussed. In addition, this research explains “Lighthouse Factories” as an emerging status applying to the top manufacturers that have implemented IAI in their manufacturing ecosystem and gained significant financial benefits. It is believed that this research will work as a guideline and roadmap for researchers and industries towards the real world implementation of IAI. // Please use this for citation: "Jay Lee, Jaskaran Singh, Moslem Azamfar. Industrial AI: Is It Manufacturing’s Guiding Light? Manufacturing leadership Journal. 2019:26–36. doi:10.7945/tt9s-gz25."
    Creator/Author:
    Singh, Jaskaran; Azamfar, Moslem, and Jee, Jay
    Submitter:
    azamfamm@mail.uc.edu
    Date Uploaded:
    06/14/2019
    Date Modified:
    07/04/2019
    Date Created:
    April 2019
    License:
    All rights reserved