Deep Learning for Job Automation Revolutionizing the Workforce

Authors

  • T. Amalraj Victoire Associate Professor, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, India
  • A. Karunamurthy Associate Professor, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, India
  • M. Vasuki Associate Professor, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, India
  • A. Sharmila Student, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, India

Keywords:

Deep learning, Job automation, Artificial Intelligence, Workforce transformation, Skill development, Ethical considerations

Abstract

Deep learning, a subfield of artificial intelligence (AI), has emerged as a powerful tool in various domains, including job automation. This article explores the transformative impact of deep learning on job automation, highlighting its potential to revolutionize the workforce. We discuss the fundamentals of deep learning, its applications in automating tasks and processes, and the implications for workers and organizations. As well, we delve into the challenges and opportunities associated with the adoption of deep learning in job automation, emphasizing the need for proper skill development and ethical considerations.

Downloads

Download data is not yet available.

Downloads

Published

11-07-2023

Issue

Section

Articles

How to Cite

[1]
T. A. Victoire, A. Karunamurthy, M. Vasuki, and A. Sharmila, “Deep Learning for Job Automation Revolutionizing the Workforce”, IJRESM, vol. 6, no. 6, pp. 162–166, Jul. 2023, Accessed: May 05, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/2750