Business Intelligence and Business Analytics with Artificial Intelligence and Machine Learning: Trends, Techniques, and Opportunities

1,3,4 University of Mumbai, Mumbai, India.
2 Construction Management, California State University, Fresno.
* Corresponding author. Email: nitinrane33@gmail.com (N.L.R.)
Manuscript submitted January 10, 2022; revised May 8, 2022; accepted June 10, 2022; published December 20, 2024

Abstract—In today’s data-centric environment, Artificial Intelligence (AI) and Machine Learning (ML) have fundamentally transformed Business Intelligence (BI) and analytics, leading to innovative trends, techniques, and opportunities. This research paper examines critical AI technologies that enhance BI capabilities, emphasizing areas such as Machine Learning and Predictive Analytics, Natural Language Processing (NLP) and Text Analytics, Computer Vision, and Robotic Process Automation (RPA). The integration of these technologies with BI systems empowers organizations to derive actionable insights, automate processes, and make informed decisions with remarkable accuracy and efficiency. Machine Learning and Predictive Analytics are crucial for advancing BI, offering advanced tools for forecasting and identifying patterns within extensive datasets. NLP and Text Analytics enable the extraction of valuable information from unstructured data, allowing businesses to understand customer sentiment, automate customer service, and improve decision-making processes. Computer Vision broadens BI capabilities to include visual data analysis, supporting applications such as quality control, surveillance, and inventory management in various industries. RPA, when combined with AI, automates repetitive tasks, thus streamlining operations and enhancing productivity. By leveraging the Internet of Things (IoT) and Big Data, businesses can increase their resilience and adaptability in an ever-changing market. The paper also discusses the role of advanced AI models, such as ChatGPT, in augmenting BI by providing intelligent data interpretations and improving human-machine interactions. The insights presented highlight the transformative potential of AI in reshaping the future of Business Intelligence..

keywords—Business intelligence, business analytics, artificial intelligence, machine learning, deep learning, internet of things, big data, ChatGPT

Cite: Nitin Liladhar Rane, Mallikarjuna Paramesha, Saurabh P. Choudhary, Jayesh Rane, "Business Intelligence and Business Analytics with Artificial Intelligence and Machine Learning: Trends, Techniques, and Opportunities," Journal of Advances in Artificial Intelligence, vol. 2, no. 2, pp. 275-294, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).