Human Resource Management In The Age Of Generative Ai
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Human Resource Management in the Age of Generative AI
Human Resource Management (HRM) is undergoing a profound transformation in the age of generative AI, reshaping how organizations attract, manage, and retain talent. Generative AI tools, including natural language processing and machine learning, are revolutionizing HR processes by automating repetitive tasks, enhancing recruitment efforts with data-driven insights, and personalizing employee development programs. These advancements enable HR professionals to make more informed decisions, improve employee engagement, and streamline administrative functions, all while fostering a more efficient and agile workplace. As generative AI continues to evolve, it promises to further refine how companies manage their workforce, balancing human creativity and emotional intelligence with the precision and scalability of AI-driven solutions. Human Resource Management in the Age of Generative AI explores the multifaceted implications of generative AI technologies on HRM practices, processes, and policies. It provides a comprehensive collection of perspectives and research directions to shape HRM practices. This book covers topics such as employee training, digital technology, and management science, and is useful resource for business owners, computer engineers, data scientists, managers, academicians, and researchers.
Navigating Data Science
Author: Babita Singla
language: en
Publisher: Emerald Group Publishing
Release Date: 2025-04-14
Navigating Data Science: Unleashing the Creative Potential of Artificial Intelligence can offer significant contributions in the field of generative intelligence in the context of data science and help stakeholders formulate strategies to tackle its adoption, implementation, and control challenges.
Advancements in Intelligent Process Automation
In the current fast-paced business environment, organizations face the challenge of improving operational efficiency and driving innovation while dealing with complex technological landscapes. Many organizations require assistance exploiting intelligent process automation's full potential (IPA). This is often due to a need for more comprehensive understanding or clear implementation strategies. As a result, they need to help their workflows, optimize resources, and adapt effectively to changing market demands. Advancements in Intelligent Process Automation bridges this gap by providing a holistic view of IPA, encompassing RPA, AI, and ML, among other key technologies. Through real-world case studies, strategic guidelines, and interdisciplinary perspectives, the book offers actionable insights that are not just theoretical, but practical and implementable. This ensures that organizations seeking to implement IPA can do so seamlessly, without feeling overwhelmed or unsure. Addressing ethical and regulatory considerations ensures responsible AI practices and compliance, fostering a sustainable approach to automation.