Remove Call Flow Remove Self Service Remove Technology Remove Virtual Agent
article thumbnail

Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning

Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. Dustin Hubbard, Chief Technology Officer at WaFd Bank.

article thumbnail

What do consumers expect in a conversational self-service system?

Interactions

Customers are busy and self-service provides a fast and efficient way for them to get things done. Efficiency and convenience are top themes in the self-service equation. Here’s what we found: What consumers want in a conversational self-service system. We asked 1,100 U.S.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Multimodal User Experience Design Best Practices

Uniphore

Alexa, Siri, Google Assistant—virtual assistants have transformed how we interact with technology and what we expect from it. Multimodal Virtual Agents allow customers to tap, text and talk to get more done , with little effort. Multimodal Virtual Agent Implementation and Best Practices. View Webinar.

article thumbnail

Build an AI-powered virtual agent for Genesys Cloud using QnABot and Amazon Lex

AWS Machine Learning

The rise of artificial intelligence technologies enables organizations to adopt and improve self-service capabilities in contact center operations to create a more proactive, timely, and effective customer experience. In this post, we demonstrate how to elevate traditional customer service FAQs with an interactive voice bot.