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March 10, 2026Applied Stochastic Models in Business and Industry0 citations

Simple Thoughts About Applied Statistics in the Age of Data Science and Artificial Intelligence

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BABOVAS ABRAHAMAVAsokan Mulayath Variyath

Key Points

  • The research aims to explore the relevance of statistics in solving practical problems in the context of big data and AI.
  • Reviewed historical developments in industrial quality improvement using statistical methods.
  • Outlined key concepts of big data and data science in context with statistics.
  • Discussed ethical considerations related to applying statistics with AI and machine learning.
  • Emphasized the ongoing importance of statistical thinking in data science and AI.
  • Identified trends in historical developments where statistics improved industrial processes.
  • Highlighted the need for ethical considerations in statistical applications with AI and machine learning.

Abstract

ABSTRACT We consider some key concepts in the application of statistics to real world problem solving which are still relevant in the era of Big Data and Artificial Intelligence (AI). Also, we give an outline of some historical developments in industrial quality improvement where statistical methods are widely applied. In addition, we briefly discuss Big Data, Data Science, and some aspects of machine learning with emphasis on Statistical Thinking and ethical considerations.

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Cite This Study

ABRAHAM et al. (2026) studied this question.

synapsesocial.com/papers/69af955970916d39fea4cd73https://doi.org/10.1002/asmb.70073
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