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Optimizing Intelligent Systems in Marketing
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Author(s): M. Sriramkumar (PSNA College of Engineering and Technology, India), P. S. Venkateswaran (PSNA College of Engineering and Technology, India), S. Sumiya (MEASI Institute of Management, India), Diya Philip (BK College, India), Abhijit Chandratreya (Shree Chanakya Education Society Indira Institute of Management, India), A. Thenmozhi (Dhaanish Ahmed College of Engineering, India), A. T. Ashmi Christus (Dhaanish Ahmed College of Engineering, India)and M. Gandhi (Dhaanish Ahmed College of Engineering, India)
Copyright: 2025
Pages: 16
Source title:
Multidisciplinary Approaches to AI, Data, and Innovation for a Smarter World
Source Author(s)/Editor(s): Sonia Singh (Toss Global Management, UK), Slim Hadoussa (Brest Business School, France), Thangaraja Arumugam (Vellore Institute of Technology, Chennai, India)and S. Suman Rajest (Dhaanish Ahmed College of Engineering, India)
DOI: 10.4018/979-8-3693-9375-8.ch012
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Abstract
Dynamic consumer behaviours, evolving market trends, and a data-rich environment mark the contemporary marketing landscape. Leveraging intelligent systems allows marketers to not only analyze large volumes of data efficiently but also to uncover patterns and trends that would be challenging through conventional methods. This introduction sets the stage for an exploration into the challenges and benefits that marketers encounter as they strive to optimize intelligent systems, highlighting the need for a nuanced understanding of technological advancements, ethical considerations, and strategic adaptations. As elucidated in contemporary discourse, adapting intelligent systems to rapidly changing preferences and industry dynamics requires a proactive and agile approach. Addressing these challenges demands a holistic strategy that combines technological innovation with ethical considerations, regulatory compliance, and a keen understanding of the evolving marketing landscape.
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