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Environics Analytics, 33 Bloor St. East, Toronto, Ont. M4W3H1, Canada

Big Data and AI are now very popular concepts within the public lexicon. Yet, much confusion exists as to what these concepts actually mean and more importantly why they are significant forces within the world today. New tools and technologies now allow better access as well as facilitating the analysis of this data for better decision-making. But the discipline of data science with its four-step process in conducting any analysis is the key towards success in both non-advanced and advanced analytics which would, of course, include the use of AI. This paper attempts to demystify these concepts from a data science perspective. In attempting to understand Big Data and AI, we look at the history of data science and how these more recent concepts have helped to optimize solutions within this 4 step process.
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Keywords Artificial intelligence; data science; big data; machine learning; predictive analytics

Citation: Richard Boire. UNDERSTANDING AI IN A WORLD OF BIG DATA. Big Data and Information Analytics, 2018, 3(1): 22-42. doi: 10.3934/bdia.2018001



This article has been cited by

  • 1. Rob Kitchin, Tracey P. Lauriault, Small Data, Data Infrastructures and Big Data, SSRN Electronic Journal, 2014, 10.2139/ssrn.2376148

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