Artificial Intelligence in Marketing Analytics
Xiaojing Dong ()
Additional contact information
Xiaojing Dong: Santa Clara University, Leavey School of Business
Chapter Chapter 12 in Marketing Analytics and Data Science, 2026, pp 219-233 from Springer
Abstract:
Abstract Artificial intelligence (AI) refers to the development of computer systems capable of performing tasks traditionally associated with human intelligence. These tasks include learning, reasoning, problem-solving, perception, and language understanding. In recent years, AI has become a transformative force across industries, enabling more personalized, data-driven, and scalable decision-making. In marketing, AI powers recommendation systems, customer segmentation, and, increasingly, the generation and analysis of unstructured data such as text, images, and videos.
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-11130-2_12
Ordering information: This item can be ordered from
http://www.springer.com/9783032111302
DOI: 10.1007/978-3-032-11130-2_12
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().