As generative AI reshapes possibilities in People Analytics, organisations face strategic challenges in proving ROI, maintaining robust data security, and ensuring privacy. This session will address the complexities of GenAI, breaking down the technical and strategic implications of ROI measurement, data privacy, and security. Interactive polls will reveal live insights into audience priorities, with tailored questions fostering debate on balancing speed with ethical considerations. The panel will conclude with an open Q&A for real-time insights from People Analytics leaders on navigating risks and maximising the potential of GenAI.

With generative AI emerging as a powerful tool for People Analytics, the business imperative lies in proving its impact while addressing serious concerns around data protection and regulatory compliance. Organisations must approach GenAI implementation thoughtfully, balancing innovation with ethical responsibility.

• ROI assessment and justification for GenAI in People Analytics
• Key data security practices to safeguard sensitive employee data in AI systems
• Strategies for building employee trust in data-driven environments
• Compliance challenges and solutions for GenAI in HR applications.

• Understand methods for calculating GenAI ROI in People Analytics and setting realistic expectations.
• Identify primary data security concerns in GenAI and strategies to mitigate them.
• Explore approaches to privacy compliance that do not impede AI innovation.
• Discuss the balance between ethical AI use and technical data security measures.