Skip to main content

Mission

Pega Process AI Essentials

Archived

5 Módulos

6 Desafios

4 h 25 min

Visível para: All users Applies to: Pega Platform 8.6

In recent years, artificial intelligence (AI) has proven to generate significant business value for organizations that use AI to improve their processes and communications. At the same time, operationalizing AI might cause bottlenecks. Pega Process AI solves this problem by using AI to self-optimize processes, and by giving you an option to use your own AI in Pega Platform.

Learn how to put your models to work and how to enable self-learning adaptive models to increase the efficiency and the effectiveness of case management.

  • To receive updates to this mission follow uson twitter
  • Access the offline mission content here on twitter
Beginner
Decision Management
Case Management
Inglês

Este conteúdo foi arquivado e não recebe mais atualizações. Seu progresso não será registrado. O Pega Cloud está desativado, e as conquistas não estão mais disponíveis.

Pega Process AI overview

  • Module

    Pega Process AI overview

    Archived

    3 Tópicos

    35 min

  • Gain a greater understanding of the key features, capabilities, and benefits of Prediction Studio. Prediction Studio is the dedicated workspace for...

Predicting fraud

  • Module

    Predicting fraud

    Archived

    4 Tópicos

    40 min

  • Occasionally, an insurance claim might be erroneous or even fraudulent. To detect fraud and optimize the way in which the application routes work and...

Importing predictive models

  • Challenge

    Importing predictive models

    Archived

    2 Tarefas

    5 min

  • U+ Bank has recently implemented Pega Decision Management but has already been using predictive models created by an external bureau for some time...

Creating a fraud prediction

  • Challenge

    Creating a fraud prediction

    Archived

    3 Tarefas

    15 min

  • U+ Insurance routes incoming car insurance claims for straight-through processing when the claimed amount does not exceed a set limit. If the claimed...

MLOps

  • Module

    MLOps

    2 Tópicos

    25 min

  • Learn how to use Machine Learning Operations (MLOps) to replace the predictive model that drives a prediction with a new model. You can import a...

Replacing a predictive model

  • Challenge

    Replacing a predictive model

    3 Tarefas

    10 min

  • U+ Bank uses Pega Customer Decision Hub™ to personalize the credit card offers that a customer is presented on its website. To customers that are...

Predicting case completion

  • Module

    Predicting case completion

    Archived

    3 Tópicos

    35 min

  • Pega Process AI™ can help to distinguish regular from complex claims. Complex claims often escalate into a lengthy process, which is not only costly...

Creating a case completion prediction

  • Challenge

    Creating a case completion prediction

    3 Tarefas

    15 min

  • U+ Insurance implements Pega AI to optimize case automation and wants to predict if an incoming claim has a low probability of being completed in the...

Monitoring adaptive models

  • Module

    Monitoring adaptive models

    Archived

    3 Tópicos

    40 min

  • It is a regular data scientist task to inspect the health of the adaptive models and share the findings with the business. The predictive performance...

Monitoring adaptive models

  • Challenge

    Monitoring adaptive models

    3 Tarefas

    10 min

  • The U+Bank implementation for cross-sell on the web of their credit cards and the models have been learning for some time. Your task is to inspect the...

Exporting historical data

  • Challenge

    Exporting historical data

    4 Tarefas

    15 min

  • U+ Bank has implemented Pega Customer Decision Hub™ to display a personalized credit card offer to eligible customers on their website. As a data...

mission badge: Pega Process AI Essentials

We'd prefer it if you saw us at our best.

Pega Academy has detected you are using a browser which may prevent you from experiencing the site as intended. To improve your experience, please update your browser.

Close Deprecation Notice