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Mission

Data Scientist

Archived

8 Modules

12 Challenges

9 hrs 50 mins

Visible to: All users
Beginner Pega Customer Decision Hub 8.6 English

Gain a greater understanding of the key features, capabilities, and benefits of Prediction Studio. Prediction Studio is the dedicated workspace for data scientists to control the life cycles of predictions and the predictive models that drive them. Configure the predictions that are deployed in Customer Decision Hub™ to guide real-time customer interactions.

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Customer Decision Hub predictions

  • Module

    Customer Decision Hub predictions

    Archived

    5 Topics

    55 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...

Enabling AI in the NBA framework

  • Module

    Enabling AI in the NBA framework

    Archived

    5 Topics

    50 mins

  • Learn how every next-best-action weighs customer needs against business objectives to optimize decisions based on priorities set by the business...

Adding predictors to an adaptive model

  • Challenge

    Adding predictors to an adaptive model

    Archived

    4 Tasks

    10 mins

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

Monitoring adaptive models

  • Module

    Monitoring adaptive models

    Archived

    4 Topics

    50 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 predictions

  • Challenge

    Monitoring predictions

    Archived

    4 Tasks

    15 mins

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

Monitoring adaptive models

  • Challenge

    Monitoring adaptive models

    3 Tasks

    10 mins

  • 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 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...

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

    4 Tasks

    25 mins

  • As a Strategy designer, you are tasked to design a basic decision strategy that outputs the Label action with the lowest printing cost. A set of Label...

Testing a decision strategy

  • Challenge

    Testing a decision strategy

    4 Tasks

    25 mins

  • A decision strategy that produces the Next-Best-Label action has been set up. The main purpose of the decision strategy is to select the label with...

Creating predictions

  • Module

    Creating predictions

    Archived

    3 Topics

    35 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

    Archived

    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

    3 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

    Archived

    7 Tasks

    5 mins

  • U+ Bank uses artificial intelligence (AI) to determine which credit card offer to show a customer on the bank’s website. To reduce the number of...

Importing predictive models

  • Challenge

    Importing predictive models

    Archived

    2 Tasks

    5 mins

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

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...

Replacing a predictive model

  • Challenge

    Replacing a predictive model

    3 Tasks

    10 mins

  • 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...

Text analytics for email routing

  • Module

    Text analytics for email routing

    3 Topics

    35 mins

  • Humans can effortlessly interpret a single tweet but are unable to parse a large volume of information efficiently. Businesses are exploring ways to...

Training a topic model to improve email routing

  • Challenge

    Training a topic model to improve email routing

    Archived

    3 Tasks

    20 mins

  • U+ Bank uses Pega Customer Service™ to route incoming emails to the appropriate department based on the topic of the email. For several use cases (for...

mission badge: Data Scientist

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