To That of Artificial Intelligence, Passing Through Business Intelligence

Author:

Doshi Ruchi1ORCID,Hiran Kamal Kant2,Mijwil Maad M.3ORCID,Anand Darpan4

Affiliation:

1. Universidad Azteca, Mexico

2. Symbiosis University of Applied Sciences, India

3. Baghdad College of Economic Sciences University, Iraq

4. Sir Padampat Singhania University, India

Abstract

Business intelligence (BI) is no longer adequate to handle the day-to-day operations of any firm considering the ever-increasing volume of data and the resulting overload. As the amount of data grows, it becomes increasingly difficult to evaluate, making the introduction of a decision-making methodology that can be described as real-time BI, very taxing and cumbersome. Because of this, it is becoming increasingly difficult to implement effective decision-making at the enterprise level that was driven by BI, so that the company may remain robust and resilient to both man-made dangers and natural calamities. With today's sophisticated malware and the growing importance of the Internet of Things (IoT), we require a more sophisticated intelligence system, which we currently refer to as Artificial Intelligence (AI). We have a better chance of surviving a cyber-attack thanks to AI and its two other subsets, Machine Learning (ML) and Deep Learning (DL). These technologies strengthen our organization's day-to-day operations and help us make more reliable decisions as stakeholders.

Publisher

IGI Global

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