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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

The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. Gartner’s Customer Service and Support Leader poll estimates that live channels such as phone and live chat cost an average of $8.01

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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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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. The LLM-powered QnABot can also play a pivotal role as an automated real-time agent assistant.

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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? Here’s what we found out. .

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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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Meet Zoom Virtual Agent, the next Evolution of Solvvy

Solvvy

Zoom Virtual Agent , an intelligent conversational AI chatbot solution, uses natural language processing and machine learning to accurately understand and painlessly resolve issues for customers. Zoom Virtual Agent works 24/7 on multiple support channels to deliver fast, personalized customer experiences.

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Millennial Generation Customer Service – The Ultimate Guide

TechSee

I’ll help myself, thanks: Called the Do-It-Yourself Generation, Millennials love self-service. Support the DIY culture: Focus on consumer enablement and empowerment through self-service. With big data and advanced analytics readily available, companies can provide Millennials with the acknowledgement they demand.

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The Insider Secret to Designing Virtual Agents that Surpass Your Competition

Speaker: Brian Morin, CMO & Mark Landry, VP of Product at SmartAction

In a world where top businesses are always battling for the best technology, you have to ensure that your virtual agent's design is the best in the competition. How data + business logic keeps virtual agents in their "swim lane". But how do you do this? Schematics of successful interactions.

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How a Top 25 Most Trusted Brand Handed Their CX to AI

Speaker: Brian Morin, CMO, SmartAction & Patty Kleinfeldt, Director of Q&E, AAA

One of the most trusted brands in the world, AAA, took the most critical aspect of their Customer Experience and handed it over to an AI-powered virtual agent for omnichannel self-service. The secret of data + business logic to keep virtual agents in their "swim lane".

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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.