Amelia is the leading conversational AI system. Her superior natural language understanding and end-to-end learning are second-to-none among digital employees.

Everything you need to know about conversation AI: how it works, where it's most helpful, and why organizations everywhere are using it to delight customers.

Conversational AI enables virtual assistants and chatbots to resolve issues without human intervention. See why self-service transforms CX and EX.

What are the differences between bots, chatbots and intelligent virtual agents? Here are 4 main characteristics of an Intelligent Virtual Agent (or IVA).

Conversations Agents have been around long enough for the public to know the difference between a cost-saving solution and a value-added customer-centric experience that makes everyday life easier. Businesses must implement chatbots that don't frustrate customers and increases your bottom line.

You just can’t differentiate between a robot and the very best of humans. —Dr. Lanning in I, Robot, by Isaac Asimov As a little twenty-first-century cocktail-party experiment, quote that line to someone, and observe whether it elicits hope or fear. Asimov understood the core terror of AI-human relations: replication, confusion, eventual domination, and chaos. What makes his […]

The key to humanizing technology is to make it more relatable, not more human.

Posted by Daniel Adiwardana, Senior Research Engineer, and Thang Luong, Senior Research Scientist, Google Research, Brain Team Modern co...

Facebook AI has made scientific progress in improving nuanced conversational skills, including consistency, specificity, and empathy.

How to avoid common pitfalls and unlock customer and business value

DARPA project aims to use machine social intelligence to improve teamwork.

A social robot with the gift of gab may soon become the most conversant machine on the planet.

This may significantly impact clinical medicine.

Automation can compliment employees' soft skills, but it isn’t one-size-fits-all, and the way you use it should change with the needs of your company. What works for one company may not work for another.

In two experiments, more than 67 percent said they wanted out but the other person kept talking.

Companies must choose whether humans or machines should get the last word on employee performance.