Data, Science and Engineering

Authors

  • Juan Vega Vargas Universidad de Tarapacá

Keywords:

Big Data, Data science, Engineering, Predictive analytics

Abstract

The volume of data generated by companies and organizations is constantly increasing, leading to the need for new scientific and engineering methods to manage, process, and analyze this data. Big Data, defined by the "5Vs" (volume, velocity, variety, veracity, and value), provides valuable insights for decision-making, efficiency improvements, and public policy development. However, a study by the Chilean-American Chamber of Commerce reveals that most companies in Chile are not yet leveraging these technologies. To remain competitive, organizations need to train specialized professionals in data science and predictive analytics.

 

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Author Biography

Juan Vega Vargas, Universidad de Tarapacá

Universidad de Tarapacá. Departamento de Ingeniería Industrial y de Sistemas

Published

2024-12-20

How to Cite

[1]
J. Vega Vargas, “Data, Science and Engineering”, Ingeniare, Rev. chil. ing., vol. 28, no. 1, Dec. 2024.

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