Open Forum

What do your team do with the thousands of freeform visitor remarks that come through online reviews, visitor surveys and other studies? 

Analyzing these with AI is a great way to turn qualitative information into quantitative data and unlock new insight. Recent technology advancements in Large Language Models (LLMs), like the tech behind Chat-GPT, have made this more accurate and powerful than previous Natural Language Processing (NLP) approaches. 

I thought I'd share a recent webinar where we explored examples of discovering visitor tone, emotions, topics, themes and actionability using examples such as museum cafes, exhibitions and security. 

We've found that leveraging AI and LLMs, like the one behind ChatGPT, has really transformed our approach.

I once worked on a project where we used AI to sift through visitor feedback for a museum. It was amazing how quickly we could spot trends and emotional shifts using advanced tools. I found it super useful to see how visitor feelings varied across different exhibits and services.

Recently, I checked out a webinar on this topic that was pretty enlightening. They showed how AI can help identify tones and themes in visitor feedback, using practical examples like museum cafes and security. And if you're thinking about integrating tech into your operations, cloud manufacturing ERP software like Acumatica’s can really streamline things. It’s been great for simplifying processes in various settings I’ve worked in.