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

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring the Role of Artificial Intelligence in Advancing Higher Education for Sustainable Development;Advances in Educational Technologies and Instructional Design;2024-06-03

2. Exploring the Implications of Emerging Artificial Intelligence Technologies at Edge Computing in Higher Education;Advances in Educational Technologies and Instructional Design;2024-06-03

3. Exploring AI-Assisted Students Online Proctoring System;Advances in Educational Technologies and Instructional Design;2024-06-03

4. Augmented Intelligence for Knowledge Management and Green Education in the Post-COVID-19 Era;Advances in Educational Technologies and Instructional Design;2024-06-03

5. AI-Powered Language Translation for Multilingual Classrooms;Advances in Educational Technologies and Instructional Design;2024-06-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3