Cognitive Computing for Marketing Decision Support

The use of artificial intelligence (AI) in cognitive computing allows for the simulation of human learning processes and the improvement of decision-making across a comprehensive range of fields. Within the context of marketing decision support, this study investigates the application of cognitive computing and focuses on how advanced artificial intelligence technologies might transform marketing tactics. Cognitive computing systems provide practical perceptivity that may be used to inform strategic opinions, maximize campaign performance, and exemplify client relations. This is accomplished by analyzing enormous datasets and observing patterns in consumer gestures. For this article, case studies that demonstrate the efficacy of cognitive computing in predicting request trends, segmenting target demographics, and perfecting client engagement are reviewed. Additionally, it addresses the issues that are associated with implementing cognitive computing in marketing, such as the integration of data, the transparency of algorithms, and ethical considerations being taken into account. According to the findings, cognitive computing presents a great opportunity for improving marketing decision-making processes, which in turn facilitates the development of strategies that are both better informed and more effective. The investigation of new directions for exploration includes the investigation of developments in cognitive computing technologies and the integration of these technologies with emerging marketing tools and platforms.