Embedding AI and Crowdsourcing in the Big Data Lake

Author

O´Leary, Daniel E.

Author_Institution

Univ. of Southern California, Los Angeles, CA, USA

Volume

29

Issue

5

fYear

2014

fDate

Sept.-Oct. 2014

Firstpage

70

Lastpage

73

Abstract

Daniel E. O\´Leary examines the notion of the Big Data Lake and contrasts it with decision support-based data warehouses. In addition, some of the risks of the emerging Lake concept that ultimately require data governance are analyzed. O\´Leary investigates using different AI and crowdsourcing (human intelligence) applications in that lake in order to integrate disparate data sources, facilitate master data management and analyze data quality. Although data governance often is not seen as a technology issue, it is seen as a critical component of making the Big Data Lake "work".

Keywords

artificial intelligence; data handling; data warehouses; decision support systems; big data lake; crowdsourcing; data governance; data quality analysis; data sources; decision support based data warehouses; embedding AI; emerging Lake concept; human intelligence applications; master data management; Artificial intelligence; Big data; Business; Crowdsourcing; Data warehouses; Databases; Decision support systems; Big Data Lake; artificial intelligence; crowdsourcing; data governance; data warehouses; intelligent systems; master data management;

fLanguage

English

Journal_Title

Intelligent Systems, IEEE

Publisher

ieee

ISSN

1541-1672

Type

jour

DOI

10.1109/MIS.2014.82

Filename

6949519