Applications Of Generative AI in HR (RECORDED)

The session begins by establishing the foundations of Digital HR, exploring current business and HR trends that are accelerating the shift toward Digital Transformation (DX). Participants learn what DX means, why it matters, and how its four core components, Mindset, Skills, Process, and Technology, enable successful adoption in HR functions. The second module focuses on the practical application of Generative AI in HR. It explains key technology concepts such as AI, ML, DL, LLMs, SLMs, and NLP, along with the differences between traditional AI and Generative AI, and why Gen AI is becoming increasingly important. The module introduces the four-step framework for deploying Gen AI in HR, the RCATEOF Prompt Engineering methodology, and showcases real-world use cases across the Talent Acquisition, Onboarding, and Employee Engagement lifecycle stages. The session concludes with a hands-on activity where participants build Gen AI-powered HR chatbots (both voice and text-based).

The session continues with advanced applications of Generative AI in HR, demonstrating how Gen AI can transform key areas such as Learning & Development, Analytics, and Total Rewards. Participants engage in practical exercises, including creating a custom learning journey and generating content using tools like NotebookLM and Napkin. The module also highlights the major challenges organizations face while deploying AI and outlines best practices to ensure effective and responsible implementation. It concludes with a hands-on activity focused on designing new-age HR metrics across the employee lifecycle.

Module 3 shifts the focus to the future of work, examining how organizations can build a future-proof workforce and workplace. It covers the emerging skills HR professionals need, explores the HR jobs of the future, and includes an insightful case study on Unilever’s Future of Work strategy, providing a real-world perspective and actionable learnings.