Matt Gibbs

Managing Director, Bayes Price

TALK

The Insights Sector’s AI tipping point…from “if only” to “HELL YEAH!”

The Insight sector is booming, and its professionals are drowning in data.  Surveys, transcripts, customer calls, voice activated feedback, they all add to the flood.  Frustratingly, these goldmines of valuable human insight often remain untouched, due to budgets, time constraints, and navigation issues.

The opportunities AI assistance offered to the profession was clear, long before the GPT-boom of ‘22.  Yet a fundamental barrier blocks the way – the dreaded Black Box.  Here’s a story…

Imagine being a consultant, grilled by your client on why a strategy you said would work, has nosedived, causing financial losses.  Not a very comfortable meeting.  Your response could be, “We collected robust evidence using a survey.  Here are the sampling methods and dataset, all analysis can be traced back to individual responses.”.  The water’s hot, but due diligence has at least been done. 

Now imagine the reaction if your response was, “We fed the data into an LLM, and it said that would be a good strategy…we can’t say why exactly.” 

What position would you rather be in?

Matt Gibbs will share how Bayes Price have overcome this challenge.  Revealing how they achieved ‘the best of both’ by incorporating AI responsibly, transparently, and in-line with insight industry standards.  Creating new opportunities and generating even more value from human insight data in the process. 

Thursday, 24 October, 15:00
Duration: 30 minutes
Track: AI in Action - Real World Stories

About the speaker

Matt Gibbs is a founder and MD of data science company Bayes Price, and Chair of the TSAPI Initiative’s Steering Group.   He regularly contributes at insights events, recently hosting conferences in London, Amsterdam, and Austin.  Specialising in survey data, Matt shares knowledge, and is keen to facilitate communications between anyone interested in connecting survey data with the wider world.

LinkedIn: www.linkedin.com/in/gibbsmatthew/



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