AI and its Ever Expanding Horizon

Authors

  • Mohit Kumar Kolay Visiting Professor University of the South Pacific Suva, Fiji Islands

DOI:

https://doi.org/10.33516/maj.v54i3.26-32p

Keywords:

No keywords

Abstract

In the present paper, the distinctive nature of artificial intelligence (AI) and its revolutionizing impact have been presented. The replication of the phenomenon of human intelligence by AI in functional areas have been observed. Its importance as a central policy issue in different countries, and its growth in spending have been documented. Applications of AI in various business areas have been brought forward to appreciate its all pervasive impact on human and the society.

Downloads

Download data is not yet available.

Published

2019-03-01

How to Cite

Kolay, M. K. (2019). AI and its Ever Expanding Horizon. The Management Accountant Journal, 54(3), 26–32. https://doi.org/10.33516/maj.v54i3.26-32p

Issue

Section

Cover Story

References

Allen, M.K., 1986. The development of an artificial intelligence system for inventory management using multiple experts. Unpublished PhD dissertation. Columbus, Ohio: The Ohio State University.

Amer,Y., Luong, L., Ashraf. M.A., and Lee, S-H., 2008. Optimizing order fulfillment using design for six sigma and fuzzy logic. International Journal of Management Science and Engineering Management, 3 (2), 83–99.

Carbonneau, R., Laframboise, K., and Vahidov, R., 2008. Application of machine learning techniques for supply chain demand forecasting.European Journal of Operational Research, 184 (3), 1140–1154.

Carrera, D.A. and Mayorga, R.V.,2008. Supply chain management: a modula rfuzzy inference system approa chinsupplier selection for new product development. Journal of Intelligent Manufacturing, 19 (1), 1–12.

Hackerearth, 2018, https// www.Hackerearth.com/Innovation Management, July

Lau, H.C.W., Pang,W.K., andWong, C.W.Y., 2002. Methodology for monitoring supply chain performance: a fuzzy logic approach. Logistics Information Systems, 15 (4), 271–280.

Li, G.D., Yamaguchi, D., and Nagai, M., 2007. Application of grey-based rough decision-making approach to supplier selection.Journal of Modelling in Management, 2 (2), 131–142.

Luger, G.F., 2002. Artificial intelligence: structures and strategies for complex problem solving. 4th ed.

Essex, England: Pearson Education Limited.

Nilsson, N.J., 1980. Principles of artificial intelligence. Los Altos, CA: Morgan Kaufmann Publishers, Inc.

Nissen, M.E. and Sengupta, K., 2006. Incorporating software agents into supply chains: experimental investigation with a procurement task.MIS Quarterly, 30 (1), 145–166.

Russell, S. and Norvig, P., 1995.Artificial intelligence: a modern approach. Upper Saddle River, NJ: Prentice-Hall.

Wang, J. and Shu,Y.F., 2005.Fuzzy decision modeling for supply chain management. Fuzzy Sets and Systems, 150 (1), 107–127.

Zhou, G., Min, H., and Gen, M., 2002. The balanced allocation of customers to multiple distribution centers in the supply chain network: a genetic algorithm approach.Computers and Industrial Engineering, 43 (1 /2), 251–261.

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.