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Leveraging Machine Learning and Neural Networks for Enhanced Communication in Leadership
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Author(s): Ratna Nitin Patil (Vishwakarma Institute of Information Technology, Pune, India), Shitalkumar Adhar Rawandale (Pimpri Chinchwad College of Engineering, Pune, India), Gitanjali Bhimrao Yadav (Vishwakarma Institute of Information Technology, India)and Prema Kadam (Vishwakarma Institute of Information Technology, India)
Copyright: 2025
Pages: 38
Source title:
Leadership Paradigms and the Impact of Technology
Source Author(s)/Editor(s): Alka Agnihotri (Galgotias University, India)and Balamurugan Balusamy (Shiv Nadar Institution of Eminence, India)
DOI: 10.4018/979-8-3693-7175-6.ch011
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Abstract
In the modern business environment, effective communication is pivotal to successful leadership. This chapter explores how cutting-edge AI technologies—specifically machine learning (ML) and neural networks—can revolutionize leadership communication strategies. Beginning with a foundational overview of ML and neural networks, the chapter delves into practical applications such as Natural Language Processing (NLP), sentiment analysis, and real-time language translation. These technologies offer leaders powerful tools to enhance internal communication, personalize interactions, and manage crises effectively. Leaders will learn how to harness AI to predict communication preferences, streamline workflows, and foster innovation. The chapter also addresses future trends and ethical considerations, emphasizing the importance of transparency, bias prevention, and privacy in AI applications. By understanding these implications, leaders can responsibly integrate AI into their communication strategies.
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