Transforming Data Visualization With AI and ML: Enhancing Business Analytics and Marketing Strategies

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Author(s): G. Kothai (KPR Institute of Engineering and Technology, India), S. Nandhagopal (KPR Institute of Engineering and Technology, India), P. Harish (KPR Institute of Engineering and Technology, India), S. Sarankumar (KPR Institute of Engineering and Technology, India)and S. Vidhya (KPR Institute of Engineering and Technology, India)
Copyright: 2025
Pages: 44
Source title: Data Visualization Tools for Business Applications
Source Author(s)/Editor(s): M. Anandhavalli Muniasamy (King Khalid University, Saudi Arabia), Arshi Naim (European Global Institute of Innovation and Technology Malta.)and Anuj Kumar (Rushford Business School, Switzerland)
DOI: 10.4018/979-8-3693-6537-3.ch007

Keywords: Business Information Systems / Business Science Reference / Data Analysis & Statistics / Library & Information Science

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Abstract

This chapter explores the ethical considerations and challenges associated with AI-driven visualizations. It highlights the importance of ethics in maintaining trust, fairness, transparency, and privacy. The chapter discusses key challenges such as bias, transparency, privacy, accountability, and accessibility. Strategies for addressing these challenges include implementing ethical AI frameworks, enhancing transparency, promoting fairness, ensuring privacy, and fostering an ethical culture. Case studies from IBM Watson and Microsoft AI are examined to illustrate these points. Future trends in AI and ML for data visualization are also considered, emphasizing the need for responsible use of technology.

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Transforming Data Visualization With AI and ML: Enhancing Business Analytics and Marketing Strategies

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