Artificial intelligence in data science

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Abstract

Data Science programs are emerging in many areas and are related to many disciplines. This includes sciences, social sciences, business, journalism, history, and any other area dealing with massive amounts of data. People may understand that the quantity of data now available has changed the nature of research and has begun to impact the way students must prepare to be part of their discipline. However, they may not understand that artificial intelligence is a key component of the new reality. Massive amounts of data require more than computational power from computers. The size of the data collections also requires machine intelligence to organize and cluster data.

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Cassel, L., Dicheva, D., Dichev, C., Goelman, D., & Posner, M. (2016). Artificial intelligence in data science. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9883 LNAI, pp. 343–346). Springer Verlag. https://doi.org/10.1007/978-3-319-44748-3_33

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