• Sikender Mohsienuddin Mohammad
• Dilip Kumar Varma Jetty

The main aim of this paper was to assess the concept and framework of Computational intelligence-based intelligence in business intelligence systems. Business Analytics (BA) and computational intelligence-based methodologies have had a profound impact on the success of corporations. This work paves the way for future research in these fields by highlighting important changes and new prospects. This study explores business intelligence systems development of computational intelligence solutions in-depth, which will be of interest to many researchers, professionals, and practitioners. They facilitate the elicitation of information, the management of knowledge, and the facilitation of decision-making so that properly informed and make accurate assessments even in contexts of high uncertainty. Recent technical developments have made use of computational intelligence to enhance intelligent business systems connected to, among other things, collective decision-making and social well-being; modeling; risk assessment; knowledge engineering; cybersecurity incidents detection; and knowledge extraction. Computational intelligence is mainly concerned with the processes that underlie ability and how to implement these mechanisms in machines. As AI makes its way into the corporate sector, computational intelligence focuses on the principles of business systems connected to manufacturing, entertainment, other industries, and medical and other fields such as marketing and engineering. Artificial intelligence may benefit greatly from the wealth of data that businesses now possess in data training, real-time data, and historical data [1]. Automated systems can promptly deal with complicated and perplexing situations, saving a great deal of time. Business intelligence systems bring together operational data and analytical tools in a single system to speed up and increase the quality of the decision-making process. Businesses utilize business intelligence systems to gather data, combine it and make it accessible for others to use. Business intelligence systems give actionable information at the appropriate time to the right people. This study proposes a framework for the application of computational intelligence in business systems today, using a variety of various methodologies.

Computational intelligence, intelligent business intelligence system, cybersecurity, risk assessment, data mining, Swarm Intelligent Systems, EC framework

"Computational intelligence-based intelligent business intelligence system: concept and framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.k146-k150, May 2022, Available :http://www.jetir.org/papers/JETIR2205B16.pdf

"Computational intelligence-based intelligent business intelligence system: concept and framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppk146-k150, May 2022, Available at : http://www.jetir.org/papers/JETIR2205B16.pdf