Workshop: Generative AI Powered HR
Overview:
HR's role in steering workplace and workforce transformation has become paramount in rapidly evolving business landscapes. This hands-on training program provides participants with a comprehensive exploration of how technology, more specifically Generative Artificial Intelligence (Gen AI), can enhance the effectiveness and efficiency of the Human Resources (HR) function, culminating in an optimal "Talent Experience" apart from driving stronger business outcomes.
Learning Objectives:
By the end of this workshop, participants will be able to:
Identify emergent business, talent, and technology trends that are accelerating the adoption of HR technology.
Learn about the latest tools and technologies across the HR tech stack that transform Employee Lifecycle management.
Master the steps to deploying Generative AI in HR, including prompt engineering.
Delve into the best practices and challenges of implementing HR technology solutions effectively.
Identify emerging HR skills and roles to manage a future-proof workplace and workforce.
Module Content
Channel: Virtual
Format: Workshop
Duration: 4 hours
Program Outline
Module 1: Context Setting (0.5 hour)
Business and HR trends driving the adoption of Digital HR
Hands-on Demo: Leveraging Gen AI tools for Productivity
Module 2: Deploying Gen AI in HR Function (2.5 hours)
Defining Key technology terms such as AI, ML, DL, LLM, SLM, NLP
Traditional AI vs Gen AI. Why is Gen AI gaining prominence?
Four steps to deploying Gen AI for HR
Prompt Engineering (RCATEOF Methodology)
Hands-on demonstrations of Gen AI tools throughout the Employee Life Cycle:
Talent Acquisition and Onboarding
Employee Engagement
Learning & Development
Talent Analytics and Planning
Total Rewards
Hands-on exercise: Developing a Chatbot
Module 3: Preparing a Future-Proof Workplace and Workforce (1 hour)
Case Study: Unfolding the AI journey of DBS Bank
Key Issues and Best Practices While Leveraging Gen AI
Emerging HR Skills of the Future
HR Jobs of the Future
Please note: In the event of a no-show, the registration fee is non-refundable. However, participants will have the option to attend the next available online session of the same workshop.
Disclaimer: By registering for this event, you consent to the organisers and event partners to communicate important event details, as well as to share relevant products, services, and updates from the event partners and participating organizations. All personal data will be handled with care and confidentiality.