Red Hat has bolstered its Process Automation suite with its first-ever applied artificial-intelligence capabilities designed to expand the use of the platform with channel partners and their business customers. The new version 7.5 of Red Hat Process Automation includes tools for predictive decision modeling and new support for the development of process- and decision-based business applications using micro-frontend architectures, the company said. Red Hat Process Automation was formerly known as JBoss BPM Suite. The updated product now lets users incorporate predictive analytics into their decision management applications to build automated systems that help to better interpret and respond to changing market dynamics. Customers can now import and execute predictive models expressed in Predictive Model Markup Language (PMML), which lets companies integrate and exchange information between machine-learning platforms where predictive models are created and trained.

Red Hat, Inc., the world's leading provider of open source solutions, today announced the latest release of Red Hat Process Automation, unveiling new applied artificial intelligence (AI) capabilities for predictive decision modeling, and support for the development of process- and decision-based business applications using micro-frontend architectures. Together with additional enhancements targeted at improving the overall user experience for Red Hat Process Automation customers, these capabilities further strengthen the business developer's toolbox. The latest edition of Red Hat's process automation technology enables our clients to more rapidly adopt a cloud-native approach to building business applications through decentralized process execution. Red Hat Process Automation is a set of products for automating business decisions and processes by enabling closer collaboration between IT and business teams. This helps IT organizations to better capture and enforce business policies and procedures, automate business operations and measure the results of business activities across heterogeneous environments including physical, virtual, mobile and cloud.