Production data sampling and migration for decision strategy simulations
Valid from Pega Version 8.3
Pega Platform™ now supports the sampling and migration of data from the production environment to the simulation environment. The data that is migrated for simulations includes customer details, Adaptive Decision Management information, and interaction history. By running a simulation on that sample data in Pega Marketing™ or Pega Customer Decision Hub™, you can verify how the changes to your decision logic impact the results. You can use that information to optimize and adjust your decision algorithms and processes.
For more information, see Deploying sample production data to a simulation environment for testing.
Integrate text analytics with decision strategies through the Interaction API
Valid from Pega Version 8.3
The Interaction API provides more context for making next-best-action decisions by integrating text analytics with decision management components such as strategies, propositions, and interaction history. By including natural language processing in your decisioning solution through the Interaction API, you ensure that the next-best-action decisions that you make are more informed and accurate.
For more information, see Customizable Interaction API for text analytics.
Simplified testing of event strategies
Valid from Pega Version 8.2
Evaluate event strategies by creating test runs. During each run, you can enter a number of sample events with simulated property values, such as the event time, the event key, and so on. By testing a strategy against sample data, you can understand the strategy configuration better and troubleshoot potential issues.
For more information, see Evaluate event strategies through test runs.
Data flow life cycle monitoring
Valid from Pega Version 8.2
You can now generate a report from the Run details section of a Data Flow rule that provides information about run events. The report includes reasons for specific events which you can analyze to troubleshoot and debug issues more quickly. You can export the report and share it with others, such as Global Customer Support.
For more information about accessing event details, see Creating a real-time run for data flows and Creating a batch run for data flows.
Data flow runs retry connections that fail
Valid from Pega Version 8.2
Real-time and batch data flow runs now retry dataset connections that fail when the related service is temporarily unavailable, for example, when a connection to a Cassandra database times out. With the automatic retries, you no longer need to run data-heavy and CPU-intensive jobs multiple times and the maintenance of data flow runs diminishes significantly.
For more information about accessing event details, see Creating a real-time run for data flows and Creating a batch run for data flows.
Optimized performance of decision strategies
Valid from Pega Version 8.2
Strategies that are part of data flows are now automatically optimized to achieve the best performance. You can also choose the properties that a strategy outputs to further increase the efficiency without additional strain on your hardware.
For more information, see Adding strategies to dataflows.
Analyze decision components with simulation tests
Valid from Pega Version 8.2
Gain a better understanding of how strategy components influence decision outcomes by using decision funnel explanations. By running simulation tests with the new Decision funnel explanation purpose, you can now break down the results of a decision funnel into granular analyses to assess how certain components and expressions influence the overall outcome.
For more information, see Interpret the decision funnel with simulation tests.
Add Robotic Automation capabilities to your application by using the Connect Robot rule
Valid from Pega Version 8.2
Pega Platform™ supports a new Connect Robot rule that you can use to integrate robotic automation capabilities into your application. You can publish information about automation bundles from Robotic Automation Studio directly to Dev Studio and automatically generate and display new rules. Also, when you source data pages from robotic desktop automations (RDA), Pega Platform displays a list of automations from which you can choose.
For more information, see About Connect Robot rules.
Support for machine learning as a service models
Valid from Pega Version 8.3
In Pega Platform™, you can now run advanced machine learning and artificial intelligence models that you develop in third-party tools. By configuring a connection with an external machine learning as a service provider, such as Google AI Platform, you can use the predictive power of your custom models to improve the predictions in your customer strategies.
For more information, see Connecting to a Machine Learning as a Service model and Configuring a machine learning service connection.
Stream-based alternative for interaction history
Valid from Pega Version 8.3
Accelerate the processing of high-volume interaction history data by incorporating a stream-based interaction history into your application. A stream-based interaction history processes large volumes of data more quickly than a traditional relational database interaction history so that you can react to your customers' needs in real time.
For more information, see Process high-volume interactions more efficiently and Aggregates-only mode for a stream-based interaction history.