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Mission

AI for 1:1 Customer Engagement

10 Modules

13 Challenges

10 hrs

Pega Customer Decision Hub 8.7
Visible to all users
Beginner Pega Customer Decision Hub 8.7 English

Familiarize yourself with the one-to-one customer engagement paradigm and discover how Pega omni-channel AI delivers the right action during every customer interaction. Learn how to optimize the adaptive models that drive Pega Customer Decision Hub™ predictions. Learn how to use predictive models to improve the decisions that Customer Decision Hub makes and how to update predictions with the MLOps process.

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Available in the following mission:

Data Scientist

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...

Customer Decision Hub overview

  • Module

    Customer Decision Hub overview

    4 Topics

    40 mins

  • Familiarize yourself with the one-to-one customer engagement paradigm and discover how Pega's omni-channel AI delivers the right action during every...

Creating and understanding decision strategies

  • Module

    Creating and understanding decision strategies

    4 Topics

    1 hr 10 mins

  • Next-Best-Action Designer provides a guided and intuitive UI to bootstrap your application development with proven best practices that generate the...

Creating a decision strategy

  • Challenge

    Creating a decision strategy

    3 Tasks

    25 mins

  • As a Decisioning Architect, you are tasked with designing a basic decision strategy that outputs a Label action with the lowest printing cost. A set...

Testing a decision strategy

  • Challenge

    Testing a decision strategy

    3 Tasks

    25 mins

  • A decision strategy that produces the next-best-label action is set up in the application. The purpose of the decision strategy is to select the label...

Creating predictions

  • Module

    Creating predictions

    2 Topics

    20 mins

  • Predicting customer churn is one among many business use cases involving predictive models. Pega Customer Decision Hub™ uses predictions that use...

Creating a churn prediction

  • Challenge

    Creating a churn prediction

    2 Tasks

    15 mins

  • U+ Bank uses Pega Customer Decision Hub™ to personalize the credit card offer a customer is presented on their website. If a customer is eligible for...

Leveraging a churn prediction

  • Challenge

    Leveraging a churn prediction

    2 Tasks

    25 mins

  • U+ Bank uses AI to determine which credit card offers to show to customers on its website. The bank wants to reduce the number of clients that leave...

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...

Optimizing AI in the NBA Framework

  • Module

    Optimizing AI in the NBA Framework

    2 Topics

    30 mins

  • Learn how to improve the predictive power of your adaptive models by configuring additional potential predictors. Input fields that are not directly...

Optimizing AI in the NBA framework

  • Challenge

    Optimizing AI in the NBA framework

    3 Tasks

    10 mins

  • U+ Bank is implementing cross-selling of their credit cards on the web by using Pega Customer Decision Hub™. The implementation team has set up the...

Using behavioral data as predictors

  • Challenge

    Using behavioral data as predictors

    3 Tasks

    10 mins

  • U+ Bank is implementing cross-sell of their credit cards on the web by using Pega Customer Decision Hub™. All available customer data, including...

Using a model score as a predictor

  • Challenge

    Using a model score as a predictor

    4 Tasks

    10 mins

  • U+ Bank is implementing cross-selling of its credit cards on the web by using Pega Customer Decision Hub™. To further enhance the predictive power 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...

The impact of machine learning

  • Module

    The impact of machine learning

    1 Topic

    15 mins

  • The boost in the success rate, also known as lift, that artificial intelligence (AI) achieves is an important business metric. To report on this...

Measuring the impact of machine learning

  • Challenge

    Measuring the impact of machine learning

    7 Tasks

    15 mins

  • U+ Bank has recently used Pega Customer Decision Hub™ to display a personalized credit card offer to eligible customers on their website. The bank now...

AI for 1:1 Customer Engagement

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