HR Operational Excellence with Gen AI
About This Course
This workshop is designed for HR professionals and people managers who are eager to harness the power of Generative AI (GAI) to elevate their HR management and operations. The session will provide in-depth insights and practical strategies to integrate AI seamlessly into HR workflows, driving efficiency, accuracy, and innovation. Industry sectors will include Retail, Financial and Manufacturing.
Mercer found that 58% of employers plan to use GAI in HR by June 2024. And while 76% think it will boost efficiency, it’s more than a cost savings play. The main objective and key outcomes are achieving the followings :-
1. Enhanced Recruitment and Talent Acquisition: GAI can streamline the recruitment process by automating resume screening, candidate matching, and interview scheduling. Discover AI-driven tools that improve the quality of hires and reduce time-to-fill positions.
2. Personalized Employee Experience: Leveraging GAI to create personalized employee experiences, from onboarding to career development. Explore AI applications that tailor training programs, provide customized feedback, and enhance employee engagement.
3. Data-Driven Decision Making: Dive into the world of predictive analytics and how GAI can analyse vast amounts of HR data to forecast trends, identify potential issues, and support data-driven decision-making. Learn to leverage AI for strategic workforce planning and performance management.
4. Efficiency in Administrative Tasks: Discover how GAI can automate routine administrative tasks such as payroll processing, benefits administration, and compliance reporting. This allows HR teams to focus on more strategic initiatives, enhancing overall productivity.
5. Ethical and Responsible AI Use: Explore the ethical considerations and best practices for implementing GAI in HR. Understand the importance of transparency, bias mitigation, and ensuring AI tools are used responsibly to foster a fair and inclusive workplace.
What You'll Learn
1. Understand the foundational concepts of AI and its applications in HR management.
2. Identify and recommend appropriate AI tools and techniques for evaluating the effectiveness of HR operations and measure HR effective-ness using specific qualitative and quantitative metrics.
3. Evaluate HR activities, services, and programs using AI technologies to anticipate and address current and future HR needs.
4. Effectively document HR performance results using qualitative and quantitative feedback mechanisms, ensuring accurate analysis and reporting.
5. Benchmark HR operations against internal and external standards of excellence, identifying areas for improvement and driving operational excellence.
6. Analyse and interpret HR data using AI tools to identify trends and generate hypotheses for enhancing HR operational excellence through data-driven decision making.
Entry Requirements
The Minimum Entry Requirements to ensure that learners can cope with the course as well as benefitting from peer learning through interaction are as follows:
• Minimum ‘N’ Level and be able to read, listen, speak and write English or at a proficiency level of the Employability Skills Workforce Skills Qualification (ES WSQ WPLN Level 5).
• At least 1 year of supervisory experience
• Age between 25 to 70 years old