Remove Chatbots Remove Presentation Remove Self service Remove Virtual Agent
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The State of Customer Self-Service Today

SmartAction

In today’s fast-paced business landscape, customer self-service has become a pivotal aspect of delivering exceptional customer experiences. As we look towards 2024, the world of customer self-service is at a crossroads, with new challenges and opportunities on the horizon. Key Trends in Customer Self-Service 1.

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Tips for Deploying AI Chatbots & Virtual Agents

Creative Virtual

Chatbots, smart help, virtual assistants, virtual agents, conversational AI – there are lots of names for this automated, self-service technology being used today. You want to ask: How can I ensure my chatbot or virtual agent is: Providing accurate and personalised information?

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Bad Chatbots in the News: How to Choose an AI That Won’t Fail Your Customers

SmartAction

The jump from traditional “press zero” to cutting-edge AI solutions presents both a thrilling opportunity and a daunting challenge in the customer service world. Choosing a self-service provider is more than a technical decision—it’s a commitment to your customers’ satisfaction and trust.

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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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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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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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Unleash Your Customer Service Team’s Full Potential with Virtual Agents

UJET

Don’t worry, we’re not suggesting you double your workforce; we’re suggesting you give your agents a virtual sidekick. Virtual Agents are designed to be your human agents’ Pippen or Harrison or Gehrig (pick your sport). What, Exactly, Are Virtual Agents? Intelligence Is a Matter of Features.