Red Hat announced new end-to-end Kubernetes-native decision management capabilities as part of the latest release of Red Hat Process Automation.
Infostretch introduced ASTUTE, an AI-powered quality engineering suite, comprised of intelligent testing services and BOTs that leverage advanced machine learning techniques.
Infostretch ASTUTE (AI Testing Suite) enables enterprises to launch digital transformation initiatives in a matter of weeks, as opposed to months, while reducing test efforts by at least 35% percent.
ASTUTE incorporates certified QE teams who assess testing maturity and deploy ready-to-tune, pre-configured BOTs to optimize every testing phase — from discovery to maintenance — to clear backlogs, quickly predict and prevent defects, and speed release cycles with a targeted outcome-based approach. A centralized analytics system simplifies the task of monitoring BOT performance and test quality, allowing senior management to calculate savings and return on investment for their testing efforts.
“Massive amounts of data, lack of expertise and huge testing backlogs are all contributing to the growing complexity of software testing. Enterprises need smart decision–making, fast validation and intelligent automation to keep up with these demanding testing challenges,” said Rutesh Shah, Infostretch Chief Executive Officer and Co-Founder. “We’re blowing up the traditional testing model with Infostretch ASTUTE, a smarter testing solution powered by AI, machine learning and smart analytics to achieve true end-to-end digital transformation.”