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Ethical AI and Data Management Strategies in Marketing

Authors :
Shefali Saluja
Varun Nayyar
Kuldeep Rojhe
Sandhir Sharma
Shefali Saluja
Varun Nayyar
Kuldeep Rojhe
Sandhir Sharma
Publication Year :
2024

Abstract

In today's fast-paced digital world, marketers face an ever-growing challenge: effectively navigating the vast and complex data landscape while ensuring ethical practices. The explosion of digital information has created new opportunities for targeted marketing. Still, it has also raised concerns about privacy, security, and the responsible use of data. Marketers risk damaging consumer trust and facing regulatory scrutiny without a comprehensive understanding of data governance and ethical frameworks. Ethical AI and Data Management Strategies in Marketing provides a timely and comprehensive solution. This insightful guide offers practical strategies for implementing robust data governance plans that focus on eradicating isolated data repositories and adhering to ethical guidelines. These theoretical and actionable strategies give marketers the confidence to implement them effectively. By leveraging the power of artificial intelligence in marketing, marketers can enhance their understanding of the target audience and optimize content creation while maintaining ethical standards. The book delves into essential topics such as data privacy, ethical marketing, and technology ethics, providing valuable insights and practical solutions for managing data ethically in modern marketing. Whether you are a marketer, researcher, or student, Ethical AI and Data Management Strategies in Marketing is a must-read for navigating the complexities of data governance and ethical practices in marketing. By implementing the strategies and frameworks outlined in this book, you can ensure that your marketing efforts are ethical, practical, and trustworthy.

Details

Language :
English
ISBNs :
9798369366608, 9798369366622, and 9798369366639
Database :
eBook Index
Journal :
Ethical AI and Data Management Strategies in Marketing
Publication Type :
eBook
Accession number :
3999470