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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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Using transcription confidence scores to improve slot filling in Amazon Lex

AWS Machine Learning

Interaction model The following are different customer experiences a caller may have depending on what they say and the transcription confidence scores returned by Amazon Lex: Conversation 1: Virtual Agent: Thank you for calling Acme Travel. Virtual Agent: In a few words, what is the reason for your call today?

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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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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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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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5 Ways AI-powered Virtual Agents Improve CX in Utilities

SmartAction

AI-powered virtual agents have come a long way since the days of “Press 1 for billing. Press 2 for enrolling in new energy service.” This allows AI-powered virtual agents to follow complex dialogue at the rate of normal conversation — yes, even alphanumerical interactions, the most challenging type to capture.

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

3CLogic

According to NASCIOs 2024 State CIO Survey, IT consolidation and centralization are top priorities for 49 state CIOs, underscoring the importance of integrated, seamless digital service management. 3 Managing tightening budgets Agencies must balance modernizing services and efforts while often constrained by budgets.

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Implementing Virtual Agents: Where to Start, and How to Finish

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

The answer may surprise you - 75% of customers think that calling is the most effective way to get a response from you, which means your agents are spending potential 30 hours/week on repetitive calls instead of more complex issues that do require human judgment and critical thinking. Unsurprised? How TechStyle saved $1.1M

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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.