Beyond the obvious: Harnessing generative AI to analyze quantitative survey data, both current and historic

Room 4 | 9:00 am - 9:30 am | Wednesday, March 27, 2024

In the realm of market research, the convergence of AI with implicit testing, behavioral science and emotional understanding is revolutionizing strategic insights. We’ve created an interconnected AI ecosystem that seamlessly combines these domains, offering fully automated data processing and analysis of new studies – from raw data to insights within minutes – combined with real-time benchmarking enabled through a live data lake of historical studies for intricate pattern recognition.

This integration enhances Hotspex’s capabilities to decode the subconscious, align behaviors with emotions and apply this amalgamation to real-time business queries, delivering nuanced, actionable insights.

Our session unveils this synergy, where Hotspex and Inspirient does not just analyze but interprets data, beyond basic mathematical functions to surface patterns out of reach of manual data analysis. The resulting insights equip businesses to navigate through the complexity of human behavior and emotional responses, unlocking a deeper understanding of consumer motivations.

Attendees will learn how AI can be used to automate quantitative survey data and transform extensive historical datasets into a strategic asset through a large language model query interface. By leveraging this intelligence, we answer complex business questions and uncover insights that traditional analysis might miss. It’s not just about accessing information; it’s about exploiting it to its full potential for informed and impactful decision-making.

Key Takeaways:

1. Innovative integration: Experience how Hotspex and Inspirient integrate AI, implicit testing and emotional understanding, transforming quantitative data into a strategic repository for insight extraction and decision-making.
2. Strategic AI utilization: Learn about the multi-study querying capability of our AI, which exploits a vast data lake to reveal hidden consumer insights and forecast market trends.
3. Insightful decision-making: Discover the potential of AI to provide a nuanced understanding of consumer behavior, harnessing historical data and behavioral science for robust business strategies.

Case Study Presentation by Supplier Technology