AI and Big Data: Harnessing Data Science for Enhanced Consumer Insights

Title

AI and Big Data: Harnessing Data Science for Enhanced Consumer Insights

Creator

George, Jossy P.; Muttungal, Peter V.; Davidson, Benny Godwin J.

Description

Data science is revolutionizing modern marketing strategies. These strategies enhance consumer intelligence and streamline decision-making processes. Data science techniques are helping businesses to get deep insights into consumer behavior, preferences, and emerging trends. In this paper, we focus on how the trident of artificial intelligence, machine learning, and quantum computing is reshaping marketing practices. Additionally, we focus on how artificial intelligence, machine learning, and quantum computing will impact data processing capabilities in future. The paper emphasizes the need for responsible data practices and discusses ethical issues such as data privacy and algorithmic bias. Several case studies focused on personalized marketing to improve customer satisfaction for companies like Netflix, Amazon, and Spotify are used. The findings suggest that businesses aiming to stay competitive will need to integrate data science in the complex data-driven world. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Source

Lecture Notes in Networks and Systems;Volume;1354 LNNS;pp.293-300

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Consumer Intelligence; Data Science; Hyper-personalization; Machine Learning; Marketing Strategy; Predictive Analytics

Coverage

George J.P., School of Business and Management, Christ University, Bangalore, India; Muttungal P.V., Department of Psychology, Christ University, Bangalore, India; Davidson B.G.J., School of Business, University of the Fraser Valley, Abbotsford, BC, Canada

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 23673370; ISBN: 978-981964879-5;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-96-4880-1_23

https://www.scopus.com/pages/publications/105019300718?origin=resultslist