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What You Need to Know About Contact Center AI

InMoment XI

Natural Language Processing: NLP is a crucial component that enables AI systems to understand and interpret human language. Intent Recognition: Once the customer’s input is processed through NLP, the system identifies the user’s intent. This frees up human agents to focus on more complex financial matters.

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4 ways that enterprise virtual agents will evolve

Interactions

Virtual agents have come a long way. And while some companies are certainly still using automated systems from the dark ages, forward-thinking brands have taken advantage of advancements in technology for big steps forward in customer experience self-service. . But what’s next? We need to think bigger.

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

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Consumers also recognize the benefits of using automated systems. In our recent survey, customers noted that when using an automated system, they see benefits such as: The convenience to get tasks done when they want to take care of them. What do customers consider the biggest deterrents of automated systems? .

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Is LLM-Powered CX Automation Ready for Prime Time?

TechSee

LLM-powered virtual assistants, chatbots, and virtual agents promise to become the new faces of customer experience automation. This could be by automating common tasks performed by agents, or by augmenting agent knowledge and training with virtual agent assistants.

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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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Millennial Generation Customer Service – The Ultimate Guide

TechSee

On her way out, she checks with Alexa whether her shoes have been shipped by Amazon, grabs her ear buds, sets her smart home security system, and rides her electric scooter to her WeWork shared office space, stopping briefly at the local convenience store to pick up her morning coffee. Millennial consumer attributes. Sounds exhausting?

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The Future of Intelligent Decision Support Systems in Contact Centers

TechSee

Decision Support Systems (DSS) drive faster, smarter decisions based on objective data, rather than on subjective criteria or personal instinct. These systems are relevant for many verticals including healthcare, finance, weather prediction, call and chat centers, desktop apps, info kiosks and more. .