Machine Learning And Ai In Marketing Connecting Computing Power To Human Insights

Abstract

Machine learning (ML) and artificial intelligence (AI) have revolutionized marketing by bridging computing power with human insights. This paper explores the symbiotic relationship between technology and human understanding in the marketing domain. By leveraging vast amounts of data, ML algorithms enable marketers to uncover patterns, predict trends, and personalize customer experiences at scale. However, the true value of ML and AI lies in their ability to augment human creativity and intuition. This paper examines case studies and methodologies where ML and AI empower marketers to make data-driven decisions while preserving the human touc[1]h in crafting compelling narratives and fostering genuine connections with consumers. The process of AI and ML integration into marketing strategies has indeed turned around the way of communication with the consumer, allowing for highly personalized and information-based interactions on the part of brands. This study points to the ML and AI applications serving as the drivers of change in the area of consumer behavior research and as the basis for the development of marketing strategies. This course will focus on data use by diving into theories of relevance and real-life settings to illustrate the necessity for bridging the gap between data analytics and human relevance while considering the ethical implications of marketing strategies.