Remove Chatbots Remove Self Service Remove Virtual Agent
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Optimizing AI Agent Experiences: Leading Providers, Gaps, and Human Support Strategies

eglobalis

Optimizing AI Agent Experiences: Leading Providers, Gaps, and Human Support Strategies Introduction Artificial intelligence agents are rapidly transforming customer service and enterprise operations. However, despite significant advances, todays AI agents cannot yet resolve every issue or replicate the human touch.

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From Knowledge Base to Virtual Agents: The Shift to AI-powered Self Service

TechSee

Customer self-service refers to customer-initiated interaction technologies that enable customers to access information and perform routine tasks without requiring the assistance of a live customer service representative. Drivers for customer self-service.

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A Complete Guide to Customer Service Automation

Comm100

Over the years, customer service has undergone a dramatic transformation, driven by rapid advancements in technology. A sector that once relied on phone calls and long email threads has shifted to a world of instant messaging, AI chatbots, and automated systems designed to meet customer needs faster than ever before.

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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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Expectations vs. Reality: What Can an AI Assistant Really Do?

Speaker: Brian Morin, Helena Chen, and David Parsons from SmartAction

Today’s AI assistants are nothing like first-generation voicebots and chatbots that left most users frustrated and unwilling to interact with any kind of bot again. You’ll learn: The latest in self-service deployments over voice & chat through live demonstrations.

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Using transcription confidence scores to improve slot filling in Amazon Lex

AWS Machine Learning

When building voice-enabled chatbots with Amazon Lex , one of the biggest challenges is accurately capturing user speech input for slot values. Virtual Agent: In a few words, what is the reason for your call today? Virtual Agent: Ok, lets try again. Conversation 2: Virtual Agent: Thank you for calling Acme Travel.

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Self-Service Strategies for Elevating CX at Your Contact Centre

NICE inContact

In a way, self-service in the contact centre is kind of like a buffet: You need a strategy, or you might overeat or miss all the best dishes. It seems like self-service options are everywhere these days. And I know I am not the only fan of faster self-service. What’s your strategy? Many Options.

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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.