Skip to main content

ミッション

Pega Process AI Essentials

8 モジュール

7 チャレンジ

5 時間 40 分

Visible to: All users
初級 Pega Platform 8.7 Decision Management Case Management Process AI 英語

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

Customer Decision Hub predictions

  • モジュール

    Customer Decision Hub predictions

    2 トピック

    35 分

  • 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

  • モジュール

    Pega Process AI overview

    1 トピック

    15 分

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

Predicting fraud

  • モジュール

    Predicting fraud

    1 トピック

    15 分

  • 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

  • チャレンジ

    Creating a fraud prediction

    3 タスク

    15 分

  • 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

  • モジュール

    Creating predictive models

    5 トピック

    50 分

  • 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

  • チャレンジ

    Building models with Pega machine learning

    6 タスク

    15 分

  • 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

  • チャレンジ

    Importing predictive models

    1 タスク

    10 分

  • 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

  • モジュール

    MLOps

    2 トピック

    25 分

  • 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

  • チャレンジ

    Replacing a predictive model

    3 タスク

    10 分

  • 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

  • モジュール

    Adaptive analytics overview

    4 トピック

    35 分

  • 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

  • モジュール

    Predicting case completion

    1 トピック

    15 分

  • 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

  • チャレンジ

    Creating a case completion prediction

    3 タスク

    15 分

  • 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

  • モジュール

    Monitoring adaptive models

    3 トピック

    40 分

  • 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

  • チャレンジ

    Monitoring adaptive models

    3 タスク

    10 分

  • 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

  • チャレンジ

    Exporting historical data

    5 タスク

    15 分

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

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