EXPLORING CASE STUDIES AND BEST PRACTICES FOR AI INTEGRATION IN WORKPLACE ADOPTION

Authors

  • K K Ramachandran Director/ Professor: Management/Commerce/International Business, DR. G R D College of Science, Coimbatore, India. Author

Keywords:

AI Integration, Best Practices, Stakeholder Engagement, Robust Data Governance, Ethical Frameworks, Ongoing Training Initiatives, Decision-makers, IT Professionals

Abstract

Artificial Intelligence (AI) integration in the workplace represents a transformative force that is reshaping traditional business paradigms. This article embarks on a thorough exploration of AI adoption, focusing on a range of case studies and distilling best practices to illuminate successful strategies for seamless integration. Through a detailed examination of real-world implementations, the article showcases instances where AI technologies have not only optimized operational efficiency but also revolutionized decision-making processes. By drawing lessons from these case studies, organizations can gain valuable insights into the practical applications of AI across diverse workplace scenarios. This article delves into key best practices essential for effective AI integration, covering aspects such as stakeholder engagement, robust data governance, ethical frameworks, and ongoing training initiatives. Serving as a practical guide, it caters to decision-makers, IT professionals, and stakeholders recognizing the competitive advantage of leveraging AI in the workplace. By distilling lessons and offering actionable insights, the article contributes to the ongoing conversation on responsible and impactful AI integration, shaping a future where technology enhances the modern work environment.

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Published

2024-01-30

How to Cite

EXPLORING CASE STUDIES AND BEST PRACTICES FOR AI INTEGRATION IN WORKPLACE ADOPTION. (2024). GLOBAL JOURNAL OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (GJAIML), 1(1), 1-10. https://iaeme-library.com/index.php/GJAIML/article/view/GJAIML_01_01_001