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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. To assist those who may be starting with a blank canvas, Amazon Lex provides the Amazon Lex automated chatbot designer.

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Will AI Render the Human Call Center Agent Obsolete?

CCNG

Studies have shown that the average consumer would rather interact with a live agent than a chatbot. For example, a March 2023 survey by IPSOS on artificial intelligence found that despite the growing acceptance of AI, most people still prefer to talk with a human customer service agent (88%).

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Leveraging AI for Real-time Customer Feedback Analysis: A Game-Changer for Business Success

Win the Customer

Automating Feedback Collection AI-powered chatbots and sentiment analysis tools have revolutionized the way businesses collect customer feedback. For instance, a retail company can employ a chatbot to assist customers with inquiries. Through NLP, the bot can recognize both positive and negative sentiments in customer messages.

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The Burgeoning World of CX Analytics

Serenova

Analytics are becoming vital to bring about improvements to the agent experience—ultimately reducing turnover rates and improving the service agents deliver. They also may couple this with contact-center agent performance, independently gathered sentiment analysis of customer interactions, and competitive analysis.

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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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Chatbot Best Practices: 8 Tips & Tricks you Can Benefit from Today

Inbenta

Set a goal for your chatbot. As obvious as it may seem, this is the number one chatbot best practice to keep in mind when starting to design a conversational agent. Give your chatbot a personality. Source: Ultan O’Broin from Chatbots Magazine ). What’s the name of your chatbot? Test, Monitor, Tune.

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How Artificial Intelligence is Changing the Contact Center

Fonolo

Most managers also rely on an analytics package (or several, depending on how integrated your software is) to monitor KPIs. Access to next-level analytics . AI-powered chatbots informed with a customer’s purchase history, browsing patterns, and service tickets can go a long way to answering both requirements.