Harnessing AI for Organizational Excellence: Interdisciplinary Strategies for Enhancing Marketing, HR, And Financial Performance Through Data-Driven Decision-Making

Abstract

AI driven changes in organizational behaviour and in operations of an organization and its departments, including marketing, human resource and finance department are becoming more apparent. This paper aims to review and identify various strategies that have been adopted to integrate AI in the improvement of performance facilitated by data in the diversification of fields. It refers to the use of advanced technologies like the machine learning algorithms, natural language processing and data visualization tools in enhancing new business breakthroughs and performances of the major departments of a business. Artificial intelligence is useful in marketing, it aids in the delivery of unique marketing, customer differentiation, and better marketing campaigns. In HR, it makes talent acquisition, employees’ retention and performance management to be on another level. Some of the specific uses of AI in the context of finance then will be in the fields of financial planning, assessments of financial risks and in investments.  The study progresses to discuss the importance of data integration and use of own company data, industry data, and customer behavioral data. The components of the infrastructure include cloud service providers, data management platforms for AI data storage, and collaboration platforms, that allow for integration into varied organizations’ processes. Nevertheless, there remains various risks including; data quality, skill, and adeptness deficits, as well as integration disadvantages that continue to hinder AI’s proper execution.