Case Study about efficient AI(Artificial Intelligence) Implementation Strategy
AUTHORS
JeongBeom Kim,Namseoul University, Head Professor of BigData Master Degree Dept., Daehak Ro, Sunghwaneup, Choongnam, Korea
ABSTRACT
The main purpose of this paper is to study about efficient AI project implementation as a case study. For the purpose of successful AI implementation, the project plan should be robust with long term view. This implementation strategy include top management decision, organization and human resource, infra structure for AI system, end user support, and company strategy. In this study, the performance index in analyzed from the view point of ROI and business priority.
KEYWORDS
AI, Case Study, Implementation, RPA, Big Data Analysis
REFERENCES
[1] C. D. Scott and R. E. Smalley, “Diagnostic Ultrasound: Principles and Instruments”, Journal of Nanosci. Nanotechnology., vol. 3, no. 2, (2003), pp. 75-80.
[2] Smith, T.F., Waterman, M.S.: Identification of Common Molecular Subsequences. J. Mol. Biol. 147, pp.195-197 (1981)
[3] Michael Negnevitsky, Artificial Intelligence, Addison Welsley, (2017)
[4] H. S. Nalwa, “Magnetic Nanostructures”, American Scientific Publishers, Los Angeles, (2003).
[5] Big Data Computing Technology, Hanbit Academy pp.14-31 (2016)
[6] IBM project management report, New York (2004)
[7] H. V. Jansen, N. R. Tas and J. W. Berenschot, “Encyclopedia of Nanoscience and Nanotechnology”, Edited H. S. Nalwa, American Scientific Publishers, Los Angeles, vol. 5, (2004), pp. 163-275.
[8] OkGi Kim, Data Science, Ezies Publishing Co, pp. 52-55 (2017)
[9] J. Kimura and H. Shibasaki, “Recent Advances in Clinical Neurophysiology”, Proceedings of the 10th International Congress of EMG and Clinical Neurophysiology, Kyoto, Japan, (1995) October pp.15-19.