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Mission

Pega Process AI Essentials

Archived

8 Module

7 Challenges

5 Std. 40 Min.

Sichtbar für: All users Applies to: Pega Platform 8.7

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.

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Anfänger
Decision Management
Case Management
Process AI
Englisch

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Customer Decision Hub predictions

  • Modul

    Customer Decision Hub predictions

    2 Themen

    35 Min.

  • 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

  • Modul

    Pega Process AI overview

    Archived

    1 Thema

    15 Min.

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

Predicting fraud

  • Modul

    Predicting fraud

    Archived

    1 Thema

    15 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...

Creating a fraud prediction

  • Challenge

    Creating a fraud prediction

    3 Aufgaben

    15 Min.

  • 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

  • Modul

    Creating predictive models

    5 Themen

    50 Min.

  • 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 Aufgaben

    15 Min.

  • 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 Aufgabe

    10 Min.

  • 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

  • Modul

    MLOps

    2 Themen

    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 Aufgaben

    10 Min.

  • 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

  • Modul

    Adaptive analytics overview

    Archived

    4 Themen

    35 Min.

  • 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

  • Modul

    Predicting case completion

    Archived

    1 Thema

    15 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

    Archived

    3 Aufgaben

    15 Min.

  • 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

  • Modul

    Monitoring adaptive models

    Archived

    3 Themen

    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 Aufgaben

    10 Min.

  • 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 Aufgaben

    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...

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