With AI being touted as the new kid on the block, the HR function in organizations is witnessing a sea change with the advent of new data-driven analytical processes. Till now HR has been about employees already working within an organization and potential entrants to it. What happens when machines and bots enter the scene? AI Revolution in HRM is all about debunking the conventional wisdom and redrawing the contours of pass management to include machines into its definition. This book discusses the benefit, challenges and applications of AI in the HR function. It also highlights issues in implementation and considers the impact of AI-based HR systems in the organization. Further, the book provides tips and insights on how to deal with the challenges and implementation issues ranging from data privacy to system bias and up-skilling of current employees. It is builds on a wide variety of cases ranging from large global organizations to startups. This book will ensure that HR professionals and general readers fully understand the concepts of AI and its relevance to the HR profession. Equipped with the knowledge of AI-based tools and systems, it will help the HR department make their organizations more vibrant and stable by embracing the developments in AI technology. AI Revolution in HRM will be an insightful and helpful read for HR professionals and AI enthusiast.

Assisting Learners Beyond Productivity Gains

Assisting learners beyond productivity gains

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Nothing could be truer than this axiom by Lucy Dimes, former CEO Acetal-Lucent and current Group Business Transformation Officer at Virgin Money UK at this juncture (Martin, 2014).

In 2019, businesses were poised for major changes. A IBM (2019) study predicted that 120 million staff in the world's top 12 economies would have to be reskilled or retrained in the next three years on account of AI and intelligent automation (Martin, 2014).

The Second Annual Future of Work Survey from consulting firm, MindEdge, captured the mindset of HR managers when it comes to AI. More than half (58%) of the 1,047 managers surveyed by the consulting firm in 2019 thought that machines outperformed humans. Also, just in ...

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