Skip to content
Research Article Open access CC BY 4.0

Rise of Artificial Intelligence in Business and Industry

Jasmin Praful Bharadiya, Reji Kurien Thomas, Farhan Ahmed

Journal of Engineering Research and Reports · pp. 85–103 · Published 5 Jun 2023

10.9734/jerr/2023/v25i3893

Abstract

The ongoing development of business and the most recent advances in artificial intelligence (AI) allow for the many business practices to be improved by the capacity to establish new forms of collaboration, which is a significant competitive advantage. This rapidly developing technology enables to offer brand services and even some new forms of business interactions with consumers and personnel. The digitalization of AI concurrently emphasized for businesses that they need concentrate on their present strategies while also routinely and early pursuing new chances in the market. Not only in business but also in different industry sectors, Al techniques are being used and revolutionized different industry sectors. This review focuses on the application of AI techniques in business and different industries.

Artificial intelligence business healthcare pharmaceutical industry machine learning ML

Cited by 98

The Sentiment Analysis Utilization for Indonesian SMEs

Muthya Rahmi Darmansyah, Andre Hasudungan Lubis, Muhammad Iqmal Hisham Kamaruddin · Advances in Human Resources Management and Organizational Development · 2024

Sentiment analysis: A review and comparative analysis of existing approaches

Ilya Mukhin, Elena Avksentieva, Aleksandr Krotov · Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing · 2023

Industry 4.0: Automating Gearbox Sound Anomaly Detection Using Machine Learning

Harry Setiawan Hamjaya, Motunrayo Osatohanmen Ibiyo, Shihabur Rahman Samrat · 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA) · 2025

AI-Driven Market Growth

Nigel Chiweshe · Advances in Finance, Accounting, and Economics · 2024

Looking at the Influence of State-of-Mind and Biases on Decision Making in Cyber Security: A Multi-adaptive Neural Agent Model

Debby Bouma, Jan Treur, Peter Roelofsma · IFIP Advances in Information and Communication Technology · 2025

Showing 87 of 98 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

98

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.