Counteracting the risk of LLMs

As of now, using LLMs in high-stakes enterprise customer interactions could be considered a risk. Although there are more robust ways of mitigating the hallucination issue emerging, it’s never going to be a 100% solved problem. If LLMs have direct access to private data, without an intermediary platform in between the model and the user, […]

7 practical tips to implement Microsoft 365 Copilot for your business

I recently sat down with Pete Kemp, Principal Consultant at FSP, to discuss the lessons learned in implementing Microsoft 365 Copilot for enterprise businesses. Pete shared 7 specific lessons that all organisations should consider when looking at introducing Copilot’s AI-powered capabilities to their business. Understand that you’re shaping the future of your workplace. These days, […]

7 new AI case studies from 7 top brands

The Cognigy Experience Summit recently concluded, and I was honoured to be there as a guest speaker. It was a gathering of Cognigy customers, partners, thought leaders and innovators in Dusseldorf, to explore the frontiers of AI in enhancing customer experiences. Here, I’ll share the success stories of the brands that presented, showing the transformative […]

Why CAI needs skin in the game

The notion that AI will take our jobs and then destroy us is frustratingly hard to kill. It lacks scientific basis but it caught the public’s imagination. That’s perhaps because films like Terminator and 2001: A Space Odyssey were hugely popular long before actual AI gained widespread use. Somehow the public accepted narratives about killer […]

How to navigate the 3 risks of LLMs in CAI

Most companies want to know how to find success with generative AI today. Few have managed to demonstrate it. Loop Car Insurance is one company that’s getting it right. It launched a generative, LLM-based bot with the help of Quiq last year that has reduced email support by 55%. So how did it do it? […]

The evolution of the full-stack conversation designer

Just a few years ago we saw the concept of the ‘full-stack conversation designer’ emerge. Essentially, this job title meant that the designer could see a bot from ideation to iterations, including research, designing flows and the bot’s language, creating the dialogue management, and training the NLU. According to Peter Isaacs, “The way it was […]