AI in Business Data Analytics: A Review of Current Practices and Future Direction
AI in Business Data Analytics: A Review of Current Practices and Future Direction
Vidya Devi Oad
TLDR
This review will discuss the existing AI applications, such as machine learning, natural language processing, predictive analytics, and AI-powered visualization, in major business processes like marketing, finance, supply chain, and human resources and brings out the advantages of AI increased efficiency, decision making, cost reduction, and competitive advantage.
Abstract
Artificial Intelligence (AI) is changing the way business data analytics is processed by allowing organizations to process vast amounts of data, discover insights, and make decisions based on the data at a level never seen before. This review will discuss the existing AI applications, such as machine learning, natural language processing, predictive analytics, and AI-powered visualization, in major business processes like marketing, finance, supply chain, and human resources. It further brings out the advantages of AI increased efficiency, decision making, cost reduction, and competitive advantage and touches issues such as data quality, ethical issues, cost of implementation, and skills shortages. New developments, including explainable AI, generative AI, and democratized analytics, are addressed, which offer future adoption guidelines.
