Data Science (Tukey in Exploratory data analysis: Past, present, and future. Princeton University Press, 1993; Naur in Communications of ACM 9:485, 1966; Hayashi et al. in Data Science, Classification and Related Methods, Proceedings of Fifth Conference of the International Federation of Classification Societies (IFCS—96). Kobe, Japan, 1998) is fast emerging as the inter-disciplinary field that converges in specialist professionals, domain expertise, data modelling expertise, statistical expertise and computer science. Data scientists transform raw data to intelligence through a systematic process of data understanding and model building based on their understanding of the data. However, to become effective in achieving their objective of transforming raw data to intelligence, they are challenged with a disjointed collection of tools, processes and unsatisfactory data acquisition and curation techniques.
CITATION STYLE
Cecil, R. R., & Soares, J. (2019). IBM Watson Studio: A Platform to Transform Data to Intelligence. In Lecture Notes in Logistics (pp. 183–192). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-15398-4_13
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