Business Intelligence Integration and Architecture using Artificial Intelligence

Authors

  • Tanmayee Tushar Parbat  B.E IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Honey Jain  BBA IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Rohan Benhal  Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Dr. Lalit Kulkarni  

Keywords:

Recommendation System, Machine Learning, Deep Learning

Abstract

During the last decade of the twentieth century and among the first one and half decades of the third millennium-up to the best knowledge of the author of this thesis, the issue of Business Intelligence and its involvement in business environment and in Electronic Commerce environment in particular for better achievement, has ‘often’ been dealt with as several individual unidirectional problems, or quite seldom as bidirectional problem. This thesis presents however a research project that has differently handled the said issue as a ‘single’ multidirectional problem. The general trend to utilize the concept of Business Intelligence was through considering it as a tool or a means that is actively reliable in decision making concerning business organizations with respect to their partial activates besides their strategic and executive planning.

References

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Published

2021-10-30

Issue

Section

Research Articles

How to Cite

[1]
Tanmayee Tushar Parbat, Honey Jain, Rohan Benhal, Dr. Lalit Kulkarni "Business Intelligence Integration and Architecture using Artificial Intelligence " International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 7, pp.76-81, September-October-2021.