In some ML applications, algorithmic bias can creep in — and it can quickly lead to unexpected outcomes. But how does it happen, and how can we avoid this?

David Dai

Machine Learning Scientist

Building multilingual conversational AI is a challenging top priority for brands today. But limitations can be avoided by adopting an ensemble approach.

Jérôme Solis

Senior Product Manager

Engaging chatbot experiences take a solid tech foundation and brand experiences built on top of it using the principles of conversational design.

André Wessels

Manager, Chatbot and Support Content

Dan Manian, CEO and Co-Founder of Donut, talks with us about the importance of human connection for team-building and brand-building, and the powerful role automation plays in making it happen at scale.

Lynn Pine

AI Content Specialist

Advancements have allowed ML teams to train large language models, but generative language models still have limitations.

Armand Silviu Gurgu, Christos Melidis, and Mandy Gu

Engineering Team

Using the right CX tools to differentiate bot CSAT and human CSAT enables brands to have a better understanding of CX performance and set/report on more accurate KPIs.

Lynn Pine

AI Content Specialist