Big Data and Predictive Analysis

A Sustainable Step Towards Modernization of Maritime Industry

Authors

  • Mr Punit Oza
  • Mr Chitta Dash
  • Mr Ng Yi Han
  • Mr Sanjeev Namath
  • Mr Jiten Mehra
  • Mr Ron Fong
  • Mr Abdullah Siddique ISF Group

Keywords:

Big data, Predictive analysis, Sustainable Development, Modernization, Maritime, Information, Shipping, Artificial Intelligence, Transport, Machine Learning

Abstract

The article concentrates on and emphasises major advancements in the marine industry, primarily those connected to digitalization of information processing across national and international waterways, as well as the sector's long-term development in the contemporary era. With the growing interconnection of marine logistics, information exchange across diverse stakeholders is important to ensure efficient supply chain processes and management. Electronic data interchange (EDI) has garnered considerable scholarly and commercial interest in the marine sector because potential it provides to greatly increase the quality of data exchange and hence promote supply chain convergence. This paper has been prepared after thoughtful consideration and discussion with some of the industry's most notable executives, as well as a thorough assessment and analysis of the industry's ongoing innovative endeavours.

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Published

2022-10-28

How to Cite

Oza, P., Dash, C. ., Yi Han, N. ., Namath, S. ., Mehra, J. ., Fong, R., & Siddique, A. (2022). Big Data and Predictive Analysis: A Sustainable Step Towards Modernization of Maritime Industry. IIRE Journal of Maritime Research and Development, 6(2), 18–36. Retrieved from https://ojsiire.com/index.php/IJMRD/article/view/228

Issue

Vol. 6 No. 2 (2022)

Section

Articles

License

Copyright (c) 2023 Mr Punit Oza, Mr Chitta Dash, Mr Ng Yi Han, Mr Sanjeev Namath, .Mr Jiten Mehra, Mr Ron Fong, Abduillah Siddique

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