Remove Contact Center Remove Customer Experience Remove Self Service Remove Virtual Agent
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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning

Government departments and businesses operate contact centers to connect with their communities, enabling citizens and customers to call to make appointments, request services, and sometimes just ask a question. These options are unsatisfying to callers who just want to ask an agent a question to get an answer quickly.

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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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New KPI Metrics in the Era of Self Service

TechSee

Once upon a time, measuring customer service success was straightforward. Hire some agents, train them, and use standard contact center KPIs to measure how well they perform. With many of these channels and tools enabling self-service, old-school KPIs are no longer sufficient. Call Deflection Rate.

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3 ways virtual agents can boost call center efficiency

Talkdesk

Self-service is a hot topic in the call center industry. From knowledge bases to virtual agents, the potential disruption that a solid set of self-service applications can bring to contact center efficiency and customer experience is unquestionable and justifies all the buzz.

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5 Best Practices for AI Self-Service Without Compromise

Speaker: Tom Lewis, CEO of SmartAction

This means more and more companies are implementing cloud-based virtual agents that automate conversations traditionally handled by live agents, all of which can be done across several different channels. How to design “lanes” for virtual agents to outperform live agents. Tune in to discover: Where to start.

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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. QnABot makes it straightforward to experiment! Tutorial Time to try it!

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

Interactions

Today, automation in the contact center is a necessity. Customers are busy and self-service provides a fast and efficient way for them to get things done. Efficiency and convenience are top themes in the self-service equation. What do customers consider the biggest deterrents of automated systems? .

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The Post-Covid CX Powered by AI

Speaker: Brian Morin, CMO, SmartAction & Aarde Cosseboom, Director of GMS Technology and Product, TechStyle Fashion Group

Adapting to a post-COVID world means recession-proofing your contact center with AI that reduces reliance on live agents with virtual agents that are always on, perfectly trained, and at a fraction of the cost. Also joining is SmartAction, who manages the AI-powered CX for more than 100 brands.

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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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Start Every Conversation with AI: The Front Door for Intelligent Customer Service

Speaker: Brian Morin & Helena Chen from SmartAction

Self-service is on the rise. More and more customers are looking to solve their own issues without human intervention. Enter a conversational AI solution for your contact center. AI virtual agents can help resolve a lot of routine and repetitive interactions, but not all are created equal.