Remove knowledge-flow
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Mastering Call Flows: Enhancing Customer Experience and Operational Efficiency

NobelBiz

Call flows play a vital role in seamlessly directing customer calls to the right place within your organization. Effective call flow management has the potential to revolutionize customer service, sales, and overall business operations. The call flow connects the caller to an agent with the necessary skills.

Call flow 106
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Building a Better Bot

CCNG

Answer - Bots have the ability to unlock knowledge, to recommend answers to complex customer requests via self-service options. Test - Test your conversation flows; understand how they model the expected performance. Iterate - Re-train your bot based on usage data, successful and unsuccessful flows/answers. Assemble a team.

CCNG 195
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Maximize Your Investment in Upskilling Agents

TechSee

In my experience working with dozens of enterprises, I have found that when recently skilled agents can see what the user sees, they can more readily recall their training and guide customers successfully through less familiar support flows. Visual assistance is especially advantageous on more complex products or less familiar support flows.

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Simplify data prep for generative AI with Amazon SageMaker Data Wrangler

AWS Machine Learning

The knowledge source documents need preprocessing, like cleaning text and generating semantic embeddings, so they can be efficiently indexed and retrieved. Create a dataflow Complete the following steps to create a data flow in SageMaker Canvas: On the SageMaker Canvas home page, choose Data preparation.

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Is LLM-Powered CX Automation Ready for Prime Time?

TechSee

This could be by automating common tasks performed by agents, or by augmenting agent knowledge and training with virtual agent assistants. Providing step-by-step guidance through a support flow requires a level of cognition and context that must be engineered as middleware between the LLM and the user.

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Pushing the Limits of Conversational AI for CX Automation

TechSee

Phase 1: Factual Answers In this phase, a Conversational AI provider can ingest your knowledge and provide a conversational interface for users based on this knowledge. Strategically, these conversational AI chatbots serve a similar role to FAQ pages but with a far wider corpus of knowledge and, typically, at a far higher cost.

Chatbots 124
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Accelerate data preparation for ML in Amazon SageMaker Canvas

AWS Machine Learning

Prepare interactive data With the setup complete, we can now create a data flow to enable interactive data preparation. The data flow provides built-in transformations and real-time visualizations to wrangle the data. Select the SageMaker Canvas dataset and choose Create a data flow. Leave the join type as Inner.