From data to decisions: Harnessing AI and big data for advanced business analytics

Title

From data to decisions: Harnessing AI and big data for advanced business analytics

Creator

Sebastian A.; Tantia V.

Description

This chapter focuses on the idea of business analytics through AI and aims to address how AI has emerged as a powerful force in augmenting and replacing traditional human-computer interactions in the realm of business analytics. AI-powered analytics can uncover hidden patterns, detect anomalies, and automate decision-making processes, significantly augmenting the efficiency and accuracy of data analysis. Thus, the purpose of this chapter is two-fold. First, the chapter sheds light on business analytics, big data, and big data analytics through AI. It delves into the theories of machine and deep learning and their synergy with big data analytics. Secondly, the authors analyze a case study to substantiate our theory. ML-based prediction models using stock market data are developed to underline the significance of adopting AI-driven approaches for business analytics. 2024, IGI Global. All rights reserved.

Source

Social Reflections of Human-Computer Interaction in Education, Management, and Economics, pp. 97-124.

Date

2024-01-01

Publisher

IGI Global

Coverage

Sebastian A., Christ University, Bengaluru, India; Tantia V., Christ University, Bengaluru, India

Rights

Restricted Access

Relation

ISBN: 979-836933034-0; 979-836933033-3

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3693-3033-3.ch006

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201350849&doi=10.4018%2f979-8-3693-3033-3.ch006&partnerID=40&md5=09a2e828ac2b08d0ccebcd814e045521