Unlocking the power of LLMs: putting people first in AI assistant development

It’s easy to approach every new problem in conversational AI as if you’re the first person who ever faced it. But the truth is that many organisations are trying to solve the same problems at the same time.
Why build a bank assistant from scratch?

How does a bank deploy an assistant like Capital One’s ENO or Bank of America’s Erica without investing countless dollars and hours in the project?
From good to great: how Roche improved customer experience

When does a company in a ‘dinosaur’ industry like pharmaceuticals embrace change?
Gartner’s Magic Quadrant for Enterprise Conversational AI Platforms: 2022 vs 2023 Comparison

So, it’s that time of year again. Gartner has released its Magic Quadrant for Enterprise Conversational AI Platforms 2023, and it makes for interesting reading. I’ll be doing some deeper analysis on this over the coming weeks, but wanted to give you a quick synopsis of what’s changed since last year. In a nutshell There […]
The 3 types of NLU systems in conversational AI

We recently spoke to Raj Koneru and Prasanna Arikala of Kore AI on the VUX World podcast, discussing Large Language Models (LLMs) and the forecasted impact they’ll have on the creation of enterprise AI assistants. Raj shared his thoughts on the types of NLU systems that exist today, and the benefits of each. This will […]
What’s this news about conversation designer layoffs?

In recent months we’ve seen rather a lot of layoffs. It feels like every few days there’s another LinkedIn post from someone in our network who’s lost their job. We spoke to three conversational AI recruitment experts to find out more.
The killer combo: How your AI assistant can save costs AND generate revenue

There are a lot of digital assistants designed for customer support. That has value. If you’re taking tasks off your live agent’s plate, then you’re helping them focus on more complex tasks. However, that’s not all AI assistants can do. Can’t they also generate revenue? Can’t they turn unhappy customers into smiling ones? Dawn Harpster, […]
The risks of Large Language Models (such as ChatGPT)

In the various interactions I’ve had with ChatGPT, and the various posts and articles I’ve read by other people, I’ve had this recurring thought – talking to ChatGPT is like talking to a gifted child.
Master assistant or multi-assistant orchestration? 4 considerations

When you start working on expanding your enterprise conversational automation initiative, you’ll be faced with a dilemma.
Why we need a no-code multimodal orchestration tool

During my chat with Jason F. Gilbert, he expressed frustration at how hard it is to orchestrate robotic movements with voice, sound effects, lights and other modes of expression.