Automation using Artificial Intelligence in Business Landscape

Title

Automation using Artificial Intelligence in Business Landscape

Creator

Unni M.V.; Rudresh S.; Bh R.; Krishnan R.K.; Kar R.; Devichandrika S.

Description

The integration of Artificial Intelligence (AI) with automation has sparked a remarkable transformation in the contemporary business landscape, promising elevated efficiency and quality. However, this convergence encounters multifaceted challenges, notably in the adoption of recent AI techniques such as deep learning, reinforcement learning, and natural language processing. These techniques, while potent, grapple with challenges in data quality, interpretability, and ethical considerations. In this study, we aim to delineate the intricate interplay between AI and automation, illuminating their collective potential to augment operational efficiency and confer a competitive advantage. Through a comprehensive review, we will explore the effective integration of these technologies, navigating hurdles such as data bias, system compatibility, and human-machine collaboration. Here, the primary research objective is to provide insights on optimizing the outcomes by synergizing AI and automation while addressing the inherent challenges, ultimately fostering sustainable and impactful implementations in organizational frameworks. 2023 IEEE.

Source

2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 1519-1523.

Date

2023-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial Intelligence; Automation; Companies; Machine learning; Management; Technologies

Coverage

Unni M.V., Department of Management, St. Claret College, Karnataka, Bengaluru, India; Rudresh S., Department of Management, St. Claret College, Karnataka, Bengaluru, India; Bh R., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Krishnan R.K., College of Economics and Business Administration, University of Technology and Applied Sciences, Shinas, Oman; Kar R., Department of Management, St. Claret College, Karnataka, Bengaluru, India; Devichandrika S., Department of Business Administration, St. Francis De Sales College, Karnataka, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 979-835034023-5

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICACRS58579.2023.10404252

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185384220&doi=10.1109%2fICACRS58579.2023.10404252&partnerID=40&md5=fc3a0fcb3937cc35220fd3b9ba8145e9