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

AWS Machine Learning

This blog post is co-written with Bruno Mateus, Jonathan Diedrich and Crispim Tribuna at Talkdesk. 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.

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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. Review your options from the qnabot-on-aws-plugin-samples repository README. Search string: "Is it fast?

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7 Automations Financial Service CX Teams Need

SmartAction

Let’s explore the pivotal role of automation in financial services, focusing on its impact on customer service and the future of banking. Welcome Greeting: Digital Hospitality for Financial Services Voice self-service begins with the welcome greeting.

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Reshaping Healthcare Support: How Automation Answered Patient Care Challenges

SmartAction

Virtual health agents are now stepping in to address queries related to symptoms or the care of potentially infected individuals, thereby reducing the strain on overwhelmed contact centers and enabling patient self-service. EHR platforms have also opened up APIs for AI to capture new patients not already in the system.

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Step 3 of 5: AI Self-Service Without Compromise – AI Without Data is Like a Race Car Without Fuel

SmartAction

This is the third of a five-part blog series that outlines the Five Best Practices for AI Self-Service Without Compromise. Gartner predicts that customers soon will prefer using speech-driven interfaces to other forms of self-service when given a choice. Read Part 1 and Part 2 first!

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What CTOs Should Know Before Implementing Conversational AI in the Contact Center

SmartAction

When used in business, conversational artificial intelligence (AI) supports overall call center operations by providing self-service options, 24/7 availability, and real-time data and analytics – while lowering costs and increasing profits. Our virtual agents can solve 80% to 90% of customer problems.

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Step 3 of 5: AI Self-Service Without Compromise – AI Without Data is Like a Race Car Without Fuel

SmartAction

This is the third of a five-part blog series that outlines the Five Best Practices for AI Self-Service Without Compromise. Gartner predicts that customers soon will prefer using speech-driven interfaces to other forms of self-service when given a choice. Read Part 1 and Part 2 first!