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 A comprehensive view of artificial intelligence (ai)-based technologies for sustainable development goals (sdgs) Subject The topic of the resource AI; Disruptive Technologies; SDGs; Sustainable Business Model; Sustainable Development Description An account of the resource Agenda 2030, aimed at sustainable and inclusive development through seventeen SDGs formulated by the United Nations (UN), has become a massive challenge for most nations around the world. Many countries are setting a plan of action for achieving carbon neutrality by 2050. Due to this, industries are under immense pressure to mitigate harmful emissions and incorporate SD in their business activities. In the past decade, AI has grown as the dominating technology which influences nearly every aspect of human life, i.e., society, business, environment, etc. This chapter provides a comprehensive view of AI-driven technological applications in achieving SDGs. It provides a snapshot of the emerging relationship between AI applications and sustainable development and how AI could be used to create sustainable business models. Large-scale adoption of AI-driven technologies has enormous potential from the sustainable development perspective. The purpose of this chapter is to map the application of AI-based technological tools and solutions with the various SDGs. Further, this chapter also extends the discussion on AI-based technology as an enabler of or barrier to addressing sustainable development issues. It provides an important insight for policymakers, practitioners, investors, and other stakeholders about the conducive influence of AI on society, governance, and ecology in line with the priorities underlined in the UN SDGs. 2024 Walter de Gruyter GmbH, Berlin/Boston. Creator An entity primarily responsible for making the resource Singh R.; Kumar K.; Khan S. Source A related resource from which the described resource is derived Artificial Intelligence Enabled Management: An Emerging Economy Perspective, pp. 183-195. Publisher An entity responsible for making the resource available De Gruyter 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="https://doi.org/10.1515/9783111172408012" target="_blank" rel="noreferrer noopener">https://doi.org/10.1515/9783111172408012</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193859675&amp;doi=10.1515%2F9783111172408012&amp;partnerID=40&amp;md5=1e6868183e90866f9c4063954f763d4d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193859675&amp;doi=10.1515%2f9783111172408012&amp;partnerID=40&amp;md5=1e6868183e90866f9c4063954f763d4d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-311117240-8; 978-311117325-2 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 Singh R., Institute of Business Management, GLA University, Mathura, Uttar Pradesh, India; Kumar K., School of Business and Management, Christ (Deemed to be University) NCR Campus, India; Khan S., Department of Industrial Engineering, University of Tabuk, Tabuk, 47512, Saudi Arabia