Title :
Embedding AI and Crowdsourcing in the Big Data Lake
Author :
O´Leary, Daniel E.
Author_Institution :
Univ. of Southern California, Los Angeles, CA, USA
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;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2014.82
