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Agent AI Is Exploding in Contact Centers—Yet the Human Experience Remains Irreplaceable

eglobalis

Introduction: AI-driven virtual agents, including chatbots and voice assistants, are increasingly integral to customer service operations. For instance, a prominent European bank encountered customer dissatisfaction when its chatbot, lacking up-to-date financial policies, gave incorrect guidance.

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Why Chatbot QA Must Be a Top Priority—and How AI Can Help

Calabrio

Customer Experience Why Chatbot QA Must Be a Top Priorityand How AI Can Help Share Customers know what they want and when they want itpreferably, now. Its no wonder, then, chatbots are becoming an increasingly popular feature of the customer service landscape. However, this doesnt mean chatbots are foolproof. The takeaway?

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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. Advanced LLMs like GPT-4 enable chatbots to engage in more natural, fluid dialogues and handle a wider range of queries.

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Orchestrating the Switch from AI Agents to Human Interaction – When and Why It Matters in CX

eglobalis

In today’s rapidly evolving AI Agent experience landscape, Artificial Intelligence (AI) has become integral to enhancing customer service and experience efficiency and responsiveness. However, despite advancements, AI encounters limitations that necessitate human intervention to ensure optimal customer satisfaction.

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The Contact Center of the Future with Real-Time AI

Depending on the customer base, you may have 40% of your chat, SMS, and email answered by a chatbot, 30% of voice calls answered by a virtual agent or voice bot, and only 30% actually answered by a human. What does the contact center of the future look like?

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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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Contact Center Automation: Reduce Agent Burnout and Boost Customer Satisfaction

InMoment XI

Chatbots and virtual assistants rely on their knowledge bases to respond to or escalate customer queries. For example, a chatbot can update its knowledge base after encountering a new query. Intelligent Virtual Agents (IVA) are AI-powered chat assistants that can have context-aware conversations with customers.

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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. November 9th, 2021 at 11:00 am PDT, 2:00 pm EDT, 7:00 pm GMT

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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.