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 Ali, Nadiyaan Nazim; Nigam, Neerja Title A name given to the resource The Impact of AI on Digital Marketing Across Various Industries: Unveiling New Possibilities Across Industries 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.55-78 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-2502-6.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2502-6.ch003</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022676717?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022676717?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 Ali N.N., Christ University, India; Nigam N., Christ University, India Description An account of the resource Artificial Intelligence (AI) is revolutionizing digital marketing by enhancing the effectiveness of strategies through automation, data- driven insights, and personalized customer engagement. This paper presents a cross- industry analysis to understand the impact of AI on digital marketing effectiveness across various sectors. The primary objective of this research is to examine how AI-powered tools and techniques are reshaping marketing practices and optimizing consumer interactions. Industries such as retail, healthcare, finance, and entertainment are leveraging AI for customer segmentation, personalized recommendations, chatbots, predictive analytics, and automated content creation. By evaluating case studies and industry reports, this study aims to identify key trends and best practices adopted by successful organizations. This research also investigates the challenges faced by companies when implementing AI in digital marketing, such as data privacy concerns, ethical implications, and the integration of AI with existing marketing strategies. 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