Remove Banking Remove Self Service Remove Virtual Agent
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New KPI Metrics in the Era of Self Service

TechSee

Modern contact centers are made up of a complex combination of humans and virtual assistants – using both natural and artificial intelligence – operating over multiple channels and using a wide range of tools to solve customers’ issues. Customer care center metrics in the era of self-service clearly require a different approach.

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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. Dustin Hubbard, Chief Technology Officer at WaFd Bank.

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Conversational AI and Banking

Interactions

Bank technology is shifting. Specifically, the automated customer service technology. Once only powered by human agents, the first automated technology that was introduced in the contact center acted mainly as a way to redirect calls to the right department. Fortunately, there are some banks that are getting it right.

Banking 62
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10 cas d'utilisation de la PNL parmi les plus populaires

Inbenta

Virtual agents and chatbots Thanks to NLP technology, chatbots have become more human-like.  Banking and finance Banking and financial institutions can use NLP to analyze market data and use that insight to reduce risks and make better decisions. Put NLP to work for your business. Schedule a demo 3.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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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.

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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.