We’re building the most accurate intent detector on the market
Intent detection is the task of classifying a user’s intent. For example, in the hospitality industry, intent categories might be...
Archives
Using conversational voice AI to manage ID&V in contact centers
We’ve recently been working with large contact centers to explore the best potential opportunities for conversational voice AI for their...
How do voicebots respond to customer queries?
If voicebots are going to be truly useful in your contact center, they need to be able to understand customer...
How do AI Agents Understand Customer Queries?
To provide excellent customer service, artificially intelligent agents (or AI agents) need to be able to understand what customers actually...
The State of Conversational AI Today
There’s been so much hype around conversational AI that – unless you’re a researcher in the field – it’s difficult...
Towards Composing Multilingual Conversations
Speaking more languages simply means reaching more people. This statement is equally true when it relates to humans or to...
A Repository of Conversational Datasets
Progress in Machine Learning is often driven by large datasets and consistent evaluation metrics. To this end, PolyAI is releasing...
The Magic Triangle of Dialogue Data Collection
Data is the driving force behind all our machine learning models. Although the word data itself buzzes a lot, the...
Neural Language Understanding of People’s Names
This is a deep-dive into one of the problems we face when we model dialogue: understanding mentions of people’s names...
Towards AI-Assisted Customer Support Automation
There is a growing need for customer support automation using the latest AI technology, and it has the potential to...
Moving from Engineering to Orchestrating Conversations
The idea of engineering chatbots has failed us for way too long. It’s time to embrace a new philosophy and...
The Age of Personal Assistants: More Machine Learning!
The first phone call was placed on March 10, 1876. Graham Bell shouted at his assistant: “Mr Watson, come here — I...