Remove Examples Remove Self service Remove Virtual Agent
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7 Reasons ChatGPT Alone Can’t Deliver the Customer Service You Need

CCNG

That means a Conversational AI solution for self-service has to deliver consistent, accurate answers every single time, no matter how many different ways the customer phrases the issue. For example, given one phrasing of a question, the model can claim to not know the answer, but given a slight rephrase, can answer correctly.”

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Using transcription confidence scores to improve slot filling in Amazon Lex

AWS Machine Learning

For example, when a user needs to provide their account number or confirmation code, speech recognition accuracy becomes crucial. Virtual Agent: In a few words, what is the reason for your call today? Virtual Agent: Ok, lets try again. Virtual Agent: Your booking 1 9 A A B is currently being progressed.

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Customer Self-Service: Pros, Cons, Examples

TechSee

Today, digital self-service has become the preference – and the new normal, along with higher expectations and reliance on these channels. The role of technology is more important than ever in improving customer service and operational efficiencies. Download our eBook: What Self Service Will Look Like in 2025 .

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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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4 Golden Rules for Conversational AI Self-Service

Speaker: Brian Morin & Helena Chen from SmartAction

As automated self-service options continue to grow, how can you make sure that you and your organization are staying on track? You’ll hear real-world examples from leading companies and discover how you can deliver CX success with AI-powered virtual agents in your organization.

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Transforming citizen experience: How AI and automation can revolutionize public services

3CLogic

Complex and inconsistent processes Citizens often struggle with navigating complex procedures, inconsistent service delivery, and unclear communication across different departments. Faster resolutions, reduced wait times, and more personalized service at a lower cost. The result?

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What is Conversational AI and How Does it Work?

DMG Consulting

These applications deliver a persistent and consistent user experience across all touchpoints to reduce customer effort and enhance the customer experience (CX) while increasing self-service automation. without the help of a live agent, salesperson, or other employee.

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The 5 Categories That Rule Virtual Agents

Speaker: Brian Morin, CMO, Mark Landry, VP Product, Marilyn Cassedy, Director of Customer Success, SmartAction

It just so happens that whenever we design and deploy a new AI-powered virtual agent over voice, the self-service application invariably falls into one of 5 distinct categories. Join Brian Morin, Mark Landry, and Marilyn Cassedy of SmartAction, and learn how to streamline your customer service.

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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. Discuss DIY platforms versus managed services – which is right for me?

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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.