Master Class in Recruitment 2.0 using Artificial Intelligence

Recruitment 2.0 refers to the modernized and innovative approaches in recruitment that leverage digital technologies, social media, data analytics, artificial intelligence and enhanced candidate experiences to improve the hiring process. This evolution aims to address the challenges of traditional recruitment methods and adapt to the changing job market and technological advancements.

Since 2013, we have been involved in the use of Artificial Intelligence for the following HR functions:

• Recruitment and Selection
• Training Needs Analysis
• Talent Management
• Skills Gap Analysis

We have already administered 1,270 online Artificial Intelligence based psychometric tests to 183 corporate organisations for the above purpose.

This two-day practical programme will help learners to:

• Understand the evolution of recruitment.
• Explore the transition from traditional recruitment methods to modern, digital-first approaches.
• Identify key drivers and trends influencing Recruitment 2.0.
• Understand predictive analytics and its application in talent acquisition.
• Learn to make data-driven decisions to improve hiring outcomes.
• Use technology to simplify and enhance the application process.
• Implement AI-powered tools like psychometric assessments and chatbots for screening and interview scheduling.
• Understand the importance of diversity and inclusion in recruitment.

By the end of the course, participants will be able to:

• Effectively use social media and digital platforms for recruitment.
• Apply data-driven strategies to enhance the hiring process.
• Create and manage a positive candidate experience.
• Utilize advanced sourcing techniques to find and attract top talent.
• Implement automated tools to streamline recruitment tasks.
• Promote diversity and inclusion within their recruitment practices.
• Adapt recruitment strategies to accommodate remote and flexible work.
• Build and maintain a strong employer brand.
• Measure recruitment efforts and optimize processes for better outcomes.