Red Hat adds AI-capabilities to Process Automation offering

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Red Hat has updated its Process Automation offering, adding predictive decision modeling and support for micro-frontend development.

In addition to these new applied artificial intelligence (AI) capabilities, Red Hat has brought in features to improve user experience.

Applied AI

Applied AI for automated decisioning enables users to incorporate predictive analytics into decision management applications.

The new feature allows users to import and execute predictive models in Predictive Model Markup Language (PMML). This enables businesses to automate rules for specific business outcomes.

Furthermore, users are able to incorporate predictive capabilities within a Decision Model and Notation decision model (DMN) to analyse and act on data while also gaining more visibility into the automated system’s decision making process.

As such, businesses can use this feature to address regulatory requirements such as GDPR, which includes a right to explanation for automated decisioning.

As a whole, according to Red Hat, automated systems enable businesses to better interpret and respond to changes in the business landscape.

Red Hat Middleware vice president and general manager Mike Piech said in a statement, “With intelligent, automated systems increasingly performing customer-facing operations, the need for visibility into how and why these systems make decisions is more important than ever.”

Micro-frontend development

This feature is focused on aiding collaboration between business analysts and developers. It enables users to build and deploy applications around automating processes and decisions.

With the app builder component in Red Hat’s Process Automation offering, users are now able to utilise a micro-frontend architectural approach to decompose client-side interfaces for process and decision-based business applications.

These micro-frontends can be independently managed, says Red Hat.

User experience

Additional updates include automated operations via L2 OpenShift Operators, improved process visibility, continuous process visibility, continuous operation through node failure and customisable templates for business resource optimisation.

These features are available now through Red Hat Process Automation, Red Hat’s collection of offerings that provide users to improve business policies and procedures, automate business operations and measure activities in physical, virtual, mobile and cloud environments.