Skip to main content

Mission

Pega Process AI Essentials

8 Modules

7 Challenges

5 hrs 40 mins

Visible to all users
Beginner Pega Platform 8.7 Decision Management Case Management English

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

Pega AI overview

  • Module

    Pega AI overview

    2 Topics

    35 mins

  • Prediction Studio is the dedicated workspace for data scientists to control the life cycles of predictions and the predictive models that drive them...

Pega Process AI overview

  • Module

    Pega Process AI overview

    1 Topic

    15 mins

  • 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

    1 Topic

    15 mins

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

Creating a fraud prediction

  • Challenge

    Creating a fraud prediction

    3 Tasks

    15 mins

  • U+ Insurance routes incoming car insurance claims for straight-through processing when the amount of a claim is under a set limit. If the amount of...

Creating predictive models

  • Module

    Creating predictive models

    5 Topics

    50 mins

  • In Prediction Studio, three option to leverage historical data are available: creating models using Pega machine learning, importing models created in...

Building models with Pega machine learning

  • Challenge

    Building models with Pega machine learning

    6 Tasks

    15 mins

  • U+ Bank uses AI to determine which credit card offer to show a customer on the bank's website. To reduce the number of clients that leave the bank...

Importing predictive models

  • Challenge

    Importing predictive models

    1 Task

    10 mins

  • U+ Bank has recently implemented Pega Decision Management but already uses predictive models that an external bureau created. You are asked to make an...

MLOps

  • Module

    MLOps

    2 Topics

    25 mins

  • 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...

Updating a churn prediction with MLOps

  • Challenge

    Updating a churn prediction with MLOps

    3 Tasks

    10 mins

  • U+ Bank uses Pega Customer Decision Hub™ to personalize the credit card offers that a customer receives on its website. The bank makes a proactive...

Adaptive analytics overview

  • Module

    Adaptive analytics overview

    4 Topics

    35 mins

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

Predicting case completion

  • Module

    Predicting case completion

    1 Topic

    15 mins

  • 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 Tasks

    15 mins

  • U+ Insurance implements Pega Process AI™ to optimize case automation. The business wants to predict whether an incoming claim has a low probability of...

Monitoring adaptive models

  • Module

    Monitoring adaptive models

    3 Topics

    40 mins

  • 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 Tasks

    10 mins

  • The models for the U+Bank implementation of cross-sell on the web of their credit cards have been learning for some time. Your task in this challenge...

Exporting historical data

  • Challenge

    Exporting historical data

    5 Tasks

    15 mins

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

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