How to build a world-class AI customer service team
Templates and guidance on building a customer service team that uses both AI and human agents to their fullest potential.
Learn MoreIdeas for impactful ways to deploy conversational AI to match your business’s unique customer journey.
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?
Building multilingual conversational AI is a challenging top priority for brands today. But limitations can be avoided by adopting an ensemble approach.
Engaging chatbot experiences take a solid tech foundation and brand experiences built on top of it using the principles of conversational design.
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.
Advancements have allowed ML teams to train large language models, but generative language models still have limitations.