Employee sentiment plays a critical role in shaping organisational strategy, but traditional survey analysis often falls short of uncovering deeper insights. This session explores how NLP and Generative AI can transform unstructured survey data into actionable intelligence, moving from static reports to dynamic, business-relevant insights.

By leveraging open-source machine learning models and tools like ChatGPT, organizations can refine sentiment analysis, uncover hidden workforce patterns, and drive data-informed decisions. We’ll discuss real-world applications, challenges in integrating AI with traditional models, and best practices for measuring impact and translating insights into action.

• Creating new datasets to address business relevant questions

• Using NLP for survey comment and sentiment analysis

• Applying Generative AI to refine sentiment evaluation and goal alignment

• Measuring impact: Moving from insights to action on employee experience.

• Discover practical approaches to integrating advanced analytics into ongoing HR initiatives

• Understand how NLP and Generative AI enhance create new datasets

• Gain strategies for tackling data quality and interpretation challenges in unstructured data

• Learn how to combine traditional machine learning models with Generative AI to drive employee-centric decisions.