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Data Scientist

Archived

9 モジュール

10 チャレンジ

8 時間 35 分

Visible to: All users
初級 Pega Customer Decision Hub 8.5 英語

Gain a greater understanding of the key features, capabilities, and benefits of Prediction Studio. Learn how to manage adaptive models and build predictive models that are used in strategies that guide real-time customer interactions.

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One-to-one customer engagement

  • モジュール

    One-to-one customer engagement

    3 トピック

    30 分

  • Familiarize yourself with the one-to-one customer engagement paradigm. Learn about the business problems Pega Customer Decision Hub™ can solve and...

Prediction Studio overview

  • モジュール

    Prediction Studio overview

    Archived

    1 トピック

    15 分

  • Prediction Studio is the dedicated workplace for data scientists to control the life cycles of advanced analytics models. The model types available in...

Enabling AI in the NBA framework

  • モジュール

    Enabling AI in the NBA framework

    Archived

    5 トピック

    50 分

  • 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

  • チャレンジ

    Adding predictors to an adaptive model

    Archived

    5 タスク

    10 分

  • 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

  • モジュール

    Monitoring adaptive models

    Archived

    2 トピック

    25 分

  • The predictive performance and success rate of individual adaptive models provide information that can help business users and decisioning consultants...

Monitoring adaptive models

  • チャレンジ

    Monitoring adaptive models

    Archived

    3 タスク

    10 分

  • 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...

The impact of machine learning

  • モジュール

    The impact of machine learning

    1 トピック

    15 分

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

Monitoring predictions

  • チャレンジ

    Monitoring predictions

    Archived

    4 タスク

    15 分

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

Creating and understanding decision strategies

  • モジュール

    Creating and understanding decision strategies

    4 トピック

    1時間 10 分

  • 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

  • チャレンジ

    Creating a decision strategy

    Archived

    4 タスク

    25 分

  • 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

  • チャレンジ

    Testing a decision strategy

    Archived

    4 タスク

    25 分

  • 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 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

    Archived

    7 タスク

    5 分

  • 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

  • チャレンジ

    Importing predictive models

    Archived

    2 タスク

    5 分

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

Using predictive models

  • モジュール

    Using predictive models

    Archived

    2 トピック

    20 分

  • Predictive analytics requires historical data that contains the customer behavior you want to predict. A predictive model is used to predict an...

Leveraging predictive models

  • チャレンジ

    Leveraging predictive models

    Archived

    3 タスク

    25 分

  • 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...

Text analytics for email routing

  • モジュール

    Text analytics for email routing

    Archived

    6 トピック

    40 分

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

Using rule-based topic detection to route emails

  • チャレンジ

    Using rule-based topic detection to route emails

    Archived

    3 タスク

    20 分

  • U+ Bank is a financial company that wants to improve their customer engagement. U+ Bank recently opened an email channel where customers can initiate...

Using model-based topic detection to route emails

  • チャレンジ

    Using model-based topic detection to route emails

    Archived

    4 タスク

    20 分

  • U+ Bank currently has a rule-based email routing system in place — all emails with the topic detected as address change are routed to the Account...

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