Study on the interaction between big data and artificial intelligence

Jin Li, Ziwei Ye and Caiming Zhang

Systems Research and Behavioral Science, 2022, vol. 39, issue 3, 641-648

Abstract: The explosive growth of information has rapidly ushered people into the era of big data. Due to the large volume, high variety, and rapid velocity characteristics of big data, most traditional data mining methods developed for a centralized data analysis process cannot be applied directly. AI leverages machine intelligence to provide insights, automation, and new methods to interact with data, thereby promoting data literacy throughout the organization. Based on the theory of Big Data Cycle, this paper discusses the relationship between big data and AI and how they interact and influence each other. It adopts the integrative review research method to screen latest literature and summarizes the role of AI in different phases of big data cycle. We also provide an insight into the applications of big data and AI in three different areas, that is, social network, health care, and finance.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/sres.2878

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:bla:srbeha:v:39:y:2022:i:3:p:641-648

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1092-7026

Access Statistics for this article

More articles in Systems Research and Behavioral Science from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().