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Guiding a customer service agent with coaching tips

  • モジュール

    Guiding a customer service agent with coaching tips

    2 トピック

    15 分

    Pega Customer Service 8.8 Visible to: All users
  • Learn how to provide customer service agents with coaching tips that deliver reminders, real-time advice, and instructions.

Guiding a customer service agent with dialogs

  • モジュール

    Guiding a customer service agent with dialogs

    2 トピック

    15 分

    Visible to: All users
  • Learn how to provide customer service agents with a dialog script that is read as an agent conducts an interaction.

Interacting with customers using a chatbot

  • モジュール

    Interacting with customers using a chatbot

    3 トピック

    30 分

    Visible to: All users
  • In this module, you learn about the Web Messaging bot and its configuration options. You also learn how to configure a chatbot with Digital Messaging...

MLOps

Model governance

  • モジュール

    Model governance

    4 トピック

    50 分

    Visible to: All users
  • AI has the potential to deliver significant benefits, but improper controls can result in regulatory issues, public relations problems, and liability...

Modifying the customer composite

  • モジュール

    Modifying the customer composite

    4 トピック

    25 分

    Visible to: All users
  • The customer composite provides a summary view of customer and account information to the CSR while processing a customer interaction. You can modify...

Monitoring adaptive models

Monitoring your contact center with Insights

  • モジュール

    Monitoring your contact center with Insights

    2 トピック

    15 分

    Visible to: All users
  • Pega Customer Service™ provides various ways for managers to observe and monitor the application and performance of the call center. You will learn...

Next best action and customer interactions

Optimizing AI in the NBA Framework

  • モジュール

    Optimizing AI in the NBA Framework

    2 トピック

    30 分

    Pega Customer Decision Hub 8.7 Visible to: All users
  • Learn how to improve the predictive power of your adaptive models by configuring additional potential predictors. Input fields that are not directly...

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