• ISBN Print:
  • ISBN Online:
    978-81-970328-1-3
  • Conference Type:
    Hybrid
  • Conference Dates:
    October 24 - 25 , 2024
  • Venue:
    Crowne Plaza Amsterdam-South, George Gershwinlaan 101/1082 MT, Amsterdam, Netherlands
  • Publisher:
    Eurasia Conferences

Exploring the Role of Artificial Intelligence and Machine Learning in Manufacturing MSMEs in India: Benefits, Limitations, and Ongoing Challenges

Proceedings: Abstracts of the 6th World Conference on Business, Management, Finance, Economics and Marketing

Dr. Devesh Kumar

Abstract

The Indian manufacturing sector, specifically within Micro, Small, and Medium Enterprises (MSMEs), serves as a fundamental component of the country’s economic development, contributing significantly towards employment generation, exports, and GDP. With the rising influence of digitalization across industries, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies, offering huge potential to enhance efficiency, productivity, reduce operational costs, and improve product quality within the MSME sector. Notwithstanding these potential benefits, the adoption of AI/ML in Indian manufacturing MSMEs remains in its early stages, constrained by financial limitations, lack of skilled workforce, and insufficient infrastructure. This paper examines the current and potential role of AI/ML in Indian manufacturing MSMEs, focusing on the benefits these technologies offer, the limitations hindering their adoption, and the ongoing challenges that persist within the sector. By synthesizing existing literature, this study aims to provide a comprehensive analysis that could help policymakers, industry stakeholders, and MSME owners about the most effective strategies for adopting AI/ML technologies. The paper further explores how these enterprises can overcome obstacles to unlock AI/ML’s full potential for improving operational efficiency, competitiveness, and innovation.

Keywords: AI/ML, MSMEs, manufacturing, India, challenges, benefits, technology adoption