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Pega NLP Essentials

Pega Process AI Essentials

PW24 Enhancing Customer Engagement with Pega Customer Decision Hub

  • Mission

    PW24 Enhancing Customer Engagement with Pega Customer Decision Hub

    5 Challenges

    1 hr 30 mins

    Pega Customer Decision Hub '24.1 Visible to: All users
  • Hands-on Training: Enhancing Customer Engagement with Pega Customer Decision Hub™ 

      Discover how Pega Customer Decision Hub™ solves business problems...

    24.1 Release notes

    • Module

      24.1 Release notes

      2 Topics

      25 mins

      Pega Platform '24.1 Visible to: All users
    • This module provides an overview of the significant changes and improvements in the Pega Infinity™ '24.1 release. Learn about the Pega GenAI™ features...

    Applying NLP for Case classification

    • Module

      Applying NLP for Case classification

      1 Topic

      10 mins

      Pega Platform '24.1 Visible to: All users
    • Pega Process AI™ utilizes Natural Language Processing to automatically categorize and route claims based on customer descriptions, eliminating delays...

    Configuring common phrases for agents

    Customer Decision Hub predictions

    Customizing the customer service user interface

    • Module

      Customizing the customer service user interface

      2 Topics

      15 mins

      Visible to: All users
    • Learn how to configure various aspects of the Pega Customer Service™ UI. Customize the layout for a service case, add a field to display, and modify...

    Defining prediction patterns

    • Module

      Defining prediction patterns

      2 Topics

      20 mins

      Visible to: All users
    • Learn how to improve the predictive power of your adaptive models by configuring additional potential predictors in Pega Customer Decision Hub™. For...

    Guiding a customer service agent with dialogs

    • Module

      Guiding a customer service agent with dialogs

      2 Topics

      15 mins

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

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