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 […]

New research: customers and agents tell CX leaders where they should focus

I recently had the pleasure of running a webinar with Michael Kropidlowski, Kore.ai and Mike Farrell, Farrell Insights. In the webinar, we reviewed two new pieces of research. The first looked at customer expectations surrounding automated AI service delivery, and enterprise customer experience in general. The second looked at contact centre agent perspectives, looking at […]

Conversations2 – Justin Randall

It’s common for teams to have both programmers and conversation designers. You need both to get a solid result. They’re both aiming to create the same thing (a robust conversation with a machine) but they approach that from different angles. While the programmer ensures that the software is solid, and has all the right connections, […]

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