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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

To That of Artificial Intelligence, Passing Through Business Intelligence

To That of Artificial Intelligence, Passing Through Business Intelligence
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Author(s): Ruchi Doshi (Universidad Azteca, Mexico), Kamal Kant Hiran (Lincoln University College, Malaysia), Maad M. Mijwil (Baghdad College of Economic Sciences University, Iraq)and Darpan Anand (Sir Padampat Singhania University, India)
Copyright: 2023
Pages: 16
Source title: Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Source Author(s)/Editor(s): Kamal Kant Hiran (Aalborg University, Denmark), K. Hemachandran (Woxsen University, India), Anil Pise (University of the Witwatersrand, South Africa)and B. Justus Rabi (Christian College of Engineering and Technology, India)
DOI: 10.4018/978-1-6684-6519-6.ch001


View To That of Artificial Intelligence, Passing Through Business Intelligence on the publisher's website for pricing and purchasing information.


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.

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