Developing and managing models
Configure and manage AI capabilities of Pega Platform to predict
customer behavior and perform text analysis. Enhance the relevance of decisions by using
adaptive models that are self-learning. Incorporate predictive analytics into every process and
every interaction with your customers. Analyze texts from various sources, such as e-mail, chat
channels, social media, and so on.
Adaptive analytics
Adaptive Decision Manager (ADM) uses self-learning models to predict customer behavior. Adaptive models are used in decision strategies to increase the relevance of decisions.
Predictive analytics
Predictive analytics predict customer behavior, such as the propensity of a customer to take up an offer or to cancel a subscription (churn), or the probability of a customer defaulting on a personal loan. Create predictive models in Prediction Studio by applying its machine learning capabilities or importing PMML models that were built in third-party tools.
Text analytics
You can use Pega Platform to analyze unstructured text that comes in through different channels: emails, social networks, chat channels, and so on. You can structure and classify the analyzed data to derive useful business information to help you retain and grow your customer base.
Managing data
Create and manage data sets, Interaction History summaries, and other resources. Make sure that you identify the data that correlates to your business use case and that is aligned with the use problem that you want to solve.
Model management
On the Model Management landing page, you can manage adaptive models that were run and predictive models with responses. You can view the performance of individual models and the number of their responses, or perform various maintenance activities, such as clearing, deleting, and updating models.
Viewing Prediction Studio notifications
Gain an insight into the performance of your adaptive and predictive models by accessing notifications in Prediction Studio . By viewing detailed monitoring data for your models, you can update their configuration to improve the predictions that you use to adjust your client-facing strategies.