Gen AI in Social Listening

Join us for an engaging and interactive event exploring the benefits and limitations of Gen AI

Please note this is an in-house event at MRS HQ

After the success of last year's event, the MRS Advanced Insights and Analytics Council are once again teaming up with the Social Intelligence Lab, this time to discuss the integration of generative AI in the role of collecting social listening data.

This event will be chaired by Dr Jillian Ney, Digital Anthropologist and Founder of the Social Intelligence Lab. We will have 2 presentations, followed by an open discussion session. 

Answering back. Levelling up Social Listening with GenAI simulations.

Richard Preedy and Kelly McKnight, Executive Directors at Verve will share how they can now harness the power of Gen AI simulations trained on social data to accurately predict consumer behaviours, attitudes, and needs. Unlocking a whole new dimension of social listening. They will share their  journey with GenAI simulations, crafting intelligent personas using social data.

In this session, they will reveal their key learnings across multiple client projects, including:

• Generating interactive personas from Tweets, fuelling innovation against Ninja
• Crafting ChefBot, filleting out opportunities from menus and recipes shared across Pinterest, Instagram & Webio
• Creating a collection of fashion-forward Gen Z personas from TikTok
  
  

Beyond the Beans - Navigating Emerging Codes in Consumer Loyalty

We will hear how Strat 7 Crowd DNA's Cultural Futures Team combined AI powered semiotics and social intelligence to discover why a major coffee shop brand were attracting thousands of sign ups a day to their loyalty scheme but not attracting regular repeat returners. Benjamin Long, Associate Director at Crowd DNA will unpack the trials and triumphs and how to harness both a brand and consumer perspective. 

Is AI in social listening over-hyped?

So many tools have incorporated generative AI as a way to make the job of social listening professionals easier, but given the levels of inaccuracy in many cases, people are having to double check the work, which is also time consuming. Would it just be quicker to do the work manually from the beginning?

The key is more about understanding the benefits and limitation of Gen AI and where in your work to incorporate it. How should you be changing your workflow to best incorporate it? When should you avoid using it?

Join us for an open exchange of ideas on integrating Gen AI in social listening, Share your experiences – both positive and negative – with using Gen AI. Discuss where Gen AI can reduce time to insight, help you find unknown unknowns, its potential when used for social listening, and when to avoid it all together. 

We hope that you will then stick around for a few drinks after.