Latest posts by Des Traynor
In this episode of Intercom on Product, our Co-founder and Chief Strategy Officer Des Traynor and Paul Adams, our Chief Product Officer, discuss how AI is going to transform the software industry, and how startups can identify the best AI opportunities to target vulnerable incumbents.
AI & Automation 5 min read
AI is already transforming software that has relied on text input and chat, but it’s time to start imagining how LLMs are going to revolutionize powerful tools with complex UIs.
Product & Design 30 min watch
We discuss the transformative impact of AI, the evolving landscape of customer service, and how humans and AI will work together in the future.
AI & Automation 25 min watch
Intercom Co-founder and CSO Des Traynor and Director of Machine Learning Fergal Reid sit down to discuss our new AI chatbot – Fin.
Customer Service 34 min watch
Technology and society have evolved – and so have we. Our latest product manifesto embodies not just how much we’ve grown, but also our unwavering enthusiasm as we look forward to the next ten years of customer service.
AI & Automation 40 min listen
GPT is unfolding before us, and we’re not missing a beat. As we explore the potential and limitations of this new tech, will it live up to the hype?
AI & Automation 30 min listen
ChatGPT has taken the world by storm, and in this episode we reveal the customer service features we have built using this revolutionary AI.
AI & Automation 50 min listen
The release of ChatGPT, OpenAI’s brand-new chatbot, has taken the internet by storm. The hype is rising, but the question remains: how big a deal is this? Listen to our Co-founder Des Traynor and Director of Machine Learning Fergal Reid discuss the implications of ChatGPT on tech and customer support.
Product & Design 19 min read
In these tough economic conditions, most businesses are just thinking about how to survive. But if you’re brave and move fast, it’s actually possible to find new opportunities to grow.
Product & Design 40 min listen
We’ve been here before. Between media buzz, overstated claims, and the work on the ground, sometimes it’s hard to distinguish fantasy from reality when dealing with Machine Learning. As neural networks mature and stand out from the pack, can the tech live up to the hype?