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Adaptive analytics overview

  • Módulo

    Adaptive analytics overview

    4 Temas

    35 minutos

    Visible to: All users
  • Pega Adaptive Decision Manager (ADM) is a component that allows you to build self-learning adaptive models that continuously improve predictions. ADM...

Adaptive models

Applying NLP for Case classification

  • Módulo

    Applying NLP for Case classification

    1 Tema

    10 minutos

    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...

Claim navigation in Pega Smart Claims Engine

  • Módulo

    Claim navigation in Pega Smart Claims Engine

    5 Temas

    1 h 20 minutos

    Pega Smart Claims Engine for Healthcare 8.6 Visible to: All users
  • This module details the claims user interface, describes the components of an Internal Control Number (ICN), reviews claim identifiers, and describes...

Creating parameterized predictors

  • Módulo

    Creating parameterized predictors

    1 Tema

    15 minutos

    Pega Customer Decision Hub 8.6 Visible to: All users
  • Learn how to improve the predictive power of your adaptive models by creating parameterized predictors. Input fields that are not directly available...

Creating predictions

Creating predictions and predictive models

  • Módulo

    Creating predictions and predictive models

    6 Temas

    1 h 5 minutos

    Visible to: All users
  • Predicting customer churn is one of many business use cases that involve predictive models. Pega Customer Decision Hub™ provides predictions that use...

Creating predictive models

  • Módulo

    Creating predictive models

    5 Temas

    50 minutos

    Pega Customer Decision Hub 8.7 Visible to: All users
  • In Prediction Studio, three option to leverage historical data are available: creating models using Pega machine learning, importing models created in...

Customer Decision Hub overview

Customer Decision Hub predictions

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