How AI lets us time travel to places we haven’t surveyed before

AI and machine learning (ML) can help us understand consumers on a deeper level quantitatively, making time travel possible. How? We can use them to go back and collect data from the past, even when no survey may have been done.  

Join Bradley Taylor for a practical overview of the usefulness of AI/ML in transforming unstructured data into quantitative data - and what this might mean for traditional market research methods. When it comes to analysing large datasets (one million or over data points), there are also several new modelling AI/ML techniques, and these are particularly useful when resources are limited. Learn how the innovation toolset for research is changing – allowing us to hear what consumers desire, unprompted and quantitatively. 

What you’ll learn: 

• How using AI/ML to transform unstructured data into quantitative data is a way to collect data from the past 
• How segmentations are changing from limited, prompted attributes to unscripted, consumer-led attributes which can produce superior customer segments based on self-stated behaviours and attitudes 
• An understanding of the new modelling AI/ML techniques for analysing large datasets