Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Implementation of AI in manufacturing industries a case study Description An account of the resource Artificial intelligence (AI) is getting progressively integrated into nearly every facet of our existence. Its applications are ubiquitous and ever-evolving, spanning fields such as autonomous vehicles, geology, medicine, and art. AI has, however, posed as many questions as it has answered. These include the definition and application of the technology (viz., assisted, augmented, or independent intellect), the question of whether computers are thinking machines similarly to humans, the wider implications of the impact of automation on society, and the unexpected moral and principled quandaries. This chapter provides an overview of artificial intelligence in manufacturing intended for executives in manufacturing and industrial companies who want to integrate AI into their business. Its main objective is to apply AI to the engineering, testing, and production stages of the manufacturing value chain. The goal is to discuss business applications that technology, data, and automated processes can support, and how the appropriate personnel, organizational structure, and culture can support them. This article discusses current advancements, poses problems, asks questions, and attempts to bring cutting-edge concepts and research closer to business. 2025 Mohamed Arezki Mellal. All rights reserved. Creator An entity primarily responsible for making the resource Rishi J.P.; Darshan S.M.; Sudarshan N. Source A related resource from which the described resource is derived Artificial Intelligence in Material Science: Advances, pp. 108-133. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211692640&amp;partnerID=40&amp;md5=22d0e388e797d2653c82db6c0479362b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211692640&amp;partnerID=40&amp;md5=22d0e388e797d2653c82db6c0479362b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100345251-5; 978-103259000-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rishi J.P., Department of Mechanical Engineering, Vidyavardhaka College of Engineering Mysuru, Karnataka, India; Darshan S.M., Department of Mechanical Engineering and Automobile Engineering, CHRIST (Deemed to be University), Kengeri, 560074, India; Sudarshan N., Department of Mechanical Engineering, Vidyavardhaka College of Engineering Mysuru, Karnataka, India