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Making Self-Service More Intelligent

DMG Consulting

Making Self-Service More Intelligent View this article on the publisher’s website Omnichannel self-service solutions are a requirement for companies that want to deliver a cost-effective and consistently outstanding customer experience (CX). Intelligent virtual agents (IVAs)—a.k.a.

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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.

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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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Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center

AWS Machine Learning

Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. The bots can answer FAQs, provide self-service experiences, or triage customer requests before transferring to a human agent.

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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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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.