Balancing AI and Human Insight
Unless you’ve been orbiting in a space station with no Wi-Fi you’ll know that there’s a lot of hype around LLMs such as ChatGPT. However, what everyone craves are best practices for how to use them (and not another ‘here’s 1000 ChatGPT prompts to try before you die’ list on our LinkedIn feed). In the […]
The Complete AI automation process: A VUX World framework
In a previous post, I argued that role playing conversations is an ineffective way of scoping the requirements for a conversational AI use case, or for your first draft design. I realised that, while role play isn’t ideal, there are a shed load more decisions and activities that need to occur before you even think […]
ChatGPT’s ‘strategies for success’ look familiar to us!
When Open AI released their ‘Six strategies for getting better results’ in Dec 2023, anyone who has worked in conversational AI must have thought oh, that looks familiar! The blog showed various techniques for working with ChatGPT. So many of the techniques are similar to the things conversation designers and programmers from the CAI industry […]
The end of role play in conversation design?
There’s a common practice in conversation design, where a design team will role play a conversation with the intention of identifying common conversational patterns, and distilling that down into an ideal ‘flow’ or ‘happy path’. You’d then use this as your first-pass design and iterate from there. Is this practice still relevant today? Honestly, I […]
Conversational AI continues its momentum into 2024
We’re nearing the end of 2023, a year that saw conversational AI explode into the mainstream. I recently sat down with Frank Schneider, AI Evangelist at contact center technology provider, Verint, to get his take on some of the year’s hot topics for enterprises as they start thinking about 2024 plans. Firstly, for all the […]
Decoding documents: how SmartBots chunk data with LLMs
Discover how SmartBots revolutionise document management by introducing an innovative approach to data chunking with Large Language Models.
4 tips for effective use of LLMs in conversational AI
Discover how businesses are adopting LLMs, the challenges and limitations of Retrieval Augmented Generation.
How to implement a tried and tested bot improvement cycle
If you’re working with conversational AI systems, then you’ll know that these things are like living organisms. A chatbot is more like a member of staff than it is a piece of software. Would you put a new member of staff on the phone or onto a live chat system and just leave them to […]
The case for explainable AI
You may have heard the term explainable AI before, but what does it mean? And why is it required? According to Google, explainable AI is “a set of tools and frameworks to help you understand and interpret predictions made by your machine learning models.” Essentially, it’s being able to explain why your AI system made […]
How to formulate your CX strategy for 2024
I recently sat down with fellow Stocktoner, Andrew Moorhouse, for a chat about the current state of customer experience, and why so many brands are barking up the wrong tree when it comes to AI. The issue with the channel of choice The biggest takeaway was regarding something I’ve been giving a lot of thought […]