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Using transcription confidence scores to improve slot filling in Amazon Lex

AWS Machine Learning

Interaction model The following are different customer experiences a caller may have depending on what they say and the transcription confidence scores returned by Amazon Lex: Conversation 1: Virtual Agent: Thank you for calling Acme Travel. Virtual Agent: In a few words, what is the reason for your call today?

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Customer Self-Service: Pros, Cons, Examples

TechSee

Today, digital self-service has become the preference – and the new normal, along with higher expectations and reliance on these channels. The role of technology is more important than ever in improving customer service and operational efficiencies. Download our eBook: What Self Service Will Look Like in 2025 .

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A Complete Guide to Customer Service Automation

Comm100

Understanding Customer Service Automation Customer service automation is the use of technology to simplify and improve how businesses assist their customers. Another key feature of customer service automation is self-service options. They use machine learning to refine and prioritize answers based on relevance.

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3 ways virtual agents can boost call center efficiency

Talkdesk

Self-service is a hot topic in the call center industry. From knowledge bases to virtual agents, the potential disruption that a solid set of self-service applications can bring to contact center efficiency and customer experience is unquestionable and justifies all the buzz.

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Virtual Agents are Automating the Contact Center: Natural Language Greeting & Intent Capture

NICE inContact

With all of the new improvements and changes in modern day customer service technology, it’s no surprise that customer expectations have evolved to follow suit as well. This is the first of four ways that virtual agents are automating the contact center. Now more than ever, customers want fast and efficient service.

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and brand sentiment. The LLM-powered QnABot can also play a pivotal role as an automated real-time agent assistant.

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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. These virtual agents can automate routine tasks as well as seamlessly elevate complex interactions to a live agent.