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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Maithani, Nandiinii Title A name given to the resource Building Digital Relationships: Social Relationship Marketing Strategies to Generative AI Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Adapting Global Communication and Marketing Strategies to Generative AI;pp.1-22 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-2502-6.ch001" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2502-6.ch001</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022671435?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022671435?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Maithani N., Christ University, India Description An account of the resource Artificial intelligence (AI) is redefining business process optimization to make business efficient, cheaper, and innovative. AI streamlines operations, automates processes, and enhances decision- making to enable business to serve customers better and remain competitive. AI solutions vary from customer services, supply chain management, finance, and human resource. AI chatbots provide 24/7 customer support, and predictive analytics enable optimized sales forecasting and inventory management. AI allows savings and creation of innovations by means of customized services. Challenges that do arise include the necessity of having quality data. AI has to be trained on huge volumes of data for it to be able to make sound predictions, and poor data quality will bring about the destruction of decision- making. Last but not least, investing in AI technology and experienced personnel can be exorbitant. 2026, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833732504-0; 979-833732502-6; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online