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Our annual AI conference showcases the numerous ways AI is transforming market research today and explores what’s coming next.

This year’s event will address the full scope of AI in market research with a special focus on the latest applications and developments. We’ll examine how AI is enhancing traditional methodologies, and consider the ethics, quality controls and required human elements to optimise AI enhanced projects.

We’re requesting experimental case studies from innovation hotbeds and real-world case studies that demonstrate how AI tools are revolutionising insight today.

To make this a genuine learning experience for our industry, we welcome stories from across all sectors that show successes, challenges and limitations.

Please send in submissions on the following topics:

  • Synthetic personas and respondents
  • AI enhanced qualitative and quantitative methodologies
  • Generative AI in research re-use, democratisation and socialisation
  • Generative AI powered analytics
  • AI enhanced segmentations and predictive modelling
  • New applications of natural language processing
  • AI-powered image and video analysis
  • Real-time market trend analysis using AI

Be part of a day designed to maximise the value of AI in market research.

Submission guidelines

If you have a case study or discussion point to share at this event,please submit your proposal by Friday 26 September via our online form.

Please let us know if you’d like to be considered for a case study, no slides panel session or in conversation with (interview style) session. All conference slots are 30 mins.

A quick note on our selection criteria:

We give priority to:

  • Real world examples, that include the ups and downs that others can learn from
  • Pioneering applications of AI
  • New and diverse voices in the field
  • MRS company partners

MRS is committed to equal gender representation on the conference platform. MRS also strives to achieve a minimum target of 15% of speakers from ethnically diverse backgrounds.


Additional Information

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