부산대학교 도서관

With cloud computing, the Internet of things, wireless sensors, social networks, fast storage, and retrieval as such, organizations and companies have access to unprecedented amounts and types of data. The methodology and application of current risk analysis are experiencing related advances and progress. For example, massive data of financial and enterprise systems support decision making under risk by individuals, industries, regulators. In this paper, the authors first discuss the meaning of big data for risk analysis. One highlight in this section is the latest Google Scholar search results showing the publication trends in big data, data science, and risk-related research. The authors then shift the discussion to the five presentations delivered in the Risk Computing organized session in SRA Asia Conference 2018. The authors conclude with a discussion on future research opportunities in risk computing.