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International Corporate Rescue

Journal Issues

  • Vol 1 (2004)
  • Vol 2 (2005)
  • Vol 3 (2006)
  • Vol 4 (2007)
  • Vol 5 (2008)
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  • Vol 15 (2018)
  •         Issue 1
  •         Issue 2
  •         Issue 3
  •         Issue 4
  •         Issue 5
  •         Issue 6
  • Vol 16 (2019)
  • Vol 17 (2020)
  • Vol 18 (2021)
  • Vol 19 (2022)

Vol 15 (2018) - Issue 2

Article preview

The Challenges of Artificial Intelligence

Professor Ashley Braganza, Deputy Dean, College of Business, Arts and Social Sciences, Brunel Business School, Uxbridge, UK

Technology is advancing at incredible rates. Whether it’s in the field of transport, communication, health or the public sector, technology is becoming ubiquitous. Big data, machine learning and artificial intelligence are no longer in the realms of science fiction; They have become the day-to-day reality that shapes lives, businesses, industries, societies and politics at national, regional and local levels. Technology is the medium through which people perceive and don’t perceive events and things.
It would be useful to have single definitions on terms such as big data, machine learning and artificial intelligence. Yet, a brief review of the academic literature suggests that these terms are used interchangeably, with an underpinning assumption that researchers and practitioners know the meanings of these terms. For the purposes of this article, the terms big data, machine learning and artificial intelligence have the following interpretations.

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