From Business Intelligence to Artificial Intelligence
Volume 2 - Issue 2
Bahman Zohuri1* and Masoud Moghaddam2
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- 1Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, New Mexico, USA
- 2Galaxy Advance Engineering Consultant, Albuquerque, New Mexico, USA
*Corresponding author:
Bahman Zohuri, Electrical Engineering and Computer Science Department, Albuquerque, and Galaxy
Advanced Engineering (CEO), New Mexico, USA
Received: January 20, 2020; Published: January 29, 2020
DOI: 10.32474/MAMS.2020.02.000137
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Abstract
With today’s growing information and overloading of its volume based on tremendous size of data growing to the level of
big data, Business Intelligence (BI) is not enough to handle any day-to-day business operation of any enterprises. It is becoming
tremendously difficult to analyze the huge amounts of data that contain the information and makes it very strenuous and
inconvenient to introduce an appropriate methodology of decision-making fast enough to the point that it can be, considered as real
time, a methodology that we used to call it BI. The demand for real time processing information and related data both structured
and unstructured is on the rise and consequently makes it harder and harder to implement correct decision making at enterprise
level that was driven by BI, in order to keep the organization robust and resilient against either man made threats or natural
disasters. With smart malware in modern computation world and necessity for Internet-of-Things (IoT), we are in need of a better
intelligence system that today we know it as Artificial Intelligence (AI). AI with its two other subset that are called Machine Learning
(ML) and Deep Learning (DL), we have a better chance against any cyber-attack and makes our day-to-day operation within our
organization a more robust one as well makes our decision making as stakeholder more trust worthy one as well.
Keywords: Resilience System; Business Intelligence; Artificial Intelligence; Cyber Security; Decision Making in Real Time; Machine
Learning; Deep Learning
Abstract|
Introduction|
What is Business Intelligence (BI)|
What is Artificial Intelligence (AI)|
AI Versus BI: Difference and Synergies|
Integration of Business Intelligence with Artificial
Intelligence|
Artificial Intelligence is the Future of Business Intelligence|
Conclusion|
References|