Significant usability enhancements improve the overall user experience of Decision Management and enable you to meet the ever-changing needs of your customers. The key enhancements include globally optimized strategies, Customer Profile Designer, text predictions for analyzing messages in conversational channels, a user-friendly process for updating active models in predictions, and better integration with external Kafka clusters.

The following list includes all the latest and previous Decision Management enhancements:

• Improve the performance of your Next-Best-Action strategy by using globally optimized strategies (8.6)
• Manage customer records in Customer Profile Designer (8.6)
• Predict customer needs and behaviors by using text predictions in your conversational channels (8.6)
• Replace models in predictions and migrate changes to production with MLOps (8.6)
• Improve your Kafka data set with new enhancements (8.6)
• Enhance your revision management process with Deployment Manager pipelines (8.5)
• Increase the flexibility of your business change management process with improvements to revision management (8.5)
• Test your next-best-action configuration with multilevel simulations (8.5)
• Predict long-term business outcomes in Prediction Studio (8.5)
• Broaden your selection of topic detection models by connecting to third-party services (8.5)
• Make your strategies compatible with the optimized strategy execution engine by using a check utility (8.5)
• Limit the number of active data flow runs (8.5)
• Enhance your data sets with Apache HBase 2.1 and Hadoop 3.0 (8.5)
• Create predictions in just a few clicks (8.4)
• Configure your chatbot for detecting small talk (8.4)
• Eliminate the impact of temporary access loss to the VBD cluster (8.4)
• Enrich your Proposition Filter rules with conditions based on strategy results (8.4)
• Increase the real-time visibility of strategy design changes with simulation batch tests (8.4)
• Optimize the performance of your Proposition Filter rules with audience simulation tests (8.4)
• Process high-volume interactions more efficiently (8.3)
• Increase your system's reliability by upgrading to Cassandra 3.11.3 (8.3)
• Create custom criteria for Proposition Filter rules by using the condition builder (8.3)
• Evaluate event strategies through unit testing (8.3)
• Improve your custom predictive models through machine learning as a service (8.3)
• Make better predictions through actionable insights in Prediction Studio (8.3)
• Release urgent business rule updates through fast-track change requests (8.3)
• Sample, migrate, and test production data in a simulation environment (8.3)
• Improve the management of text extraction models through entity types (8.3)
• Effectively manage text analytics models (8.3)
• Improve prediction accuracy by monitoring predictive models (8.2)
• Interpret the decision funnel with simulation tests (8.2)
• Review the lifecycle events of data flow runs (8.2)
• Optimize decision strategy performance (8.2)
• Evaluate event strategies through test runs (8.2)
• Generate scorecard explanations (8.2)
• Configure enhanced File data sets (8.2)
• Build machine-learning models in Prediction Studio (8.1)
• Create taxonomies more efficiently (8.1)
• Extract meaningful summaries from text (8.1)
• Configure managed data flow runs (8.1)
• Benefit from improved decision strategies and test runs (8.1)
• Connect to remote repositories through File data sets (8.1)
• Add predictors based on Interaction History (8.1)
• Comply with customer data management regulations (8.1)

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