Citation :

Suman Chintala, Vikramrajkumar Thiyagarajan, 2023. "AI-Driven Business Intelligence: Unlocking the Future of Decision-Making" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 2: 73-84.

Abstract :

In today's world, where the business environment changes every day, AI, together with BI, changes the decision-making process. This paper delves into the role and impact AI is having on traditional business analytics through BI that is driven by AI and what new concepts it brings to traditional business analytics, including accurate and real-time insight provision, enabler of predictive analysis and automation of data-intensive tasks. We explore some of the crucial technologies that have enabled this change, such as machine learning, natural language processing and more contemporary data mining methodologies. Also, the paper establishes the advantages of AI-integrated BI, which include efficiency in operations, business advantage, and the fact that they can reveal concealed patterns and trends that are hard to observe using traditional techniques. In this paper, we show how, with the help of AI-driven BI, companies can harness data better, make smarter decisions and attain their goals through case studies and real-life examples. Due to the progressive nature of the entrepreneurship world relying more on data, AI-driven business intelligence is well poised to help drive the emphatic future direction and success.

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Keywords :

Artificial Intelligence (AI), Business Intelligence (BI), Decision-Making, Predictive Analytics, Machine Learning, Data Mining, Natural Language Processing (NLP).