Check Point® Software Technologies Ltd. has been recognized as a Leader in the 2024 Gartner® Magic Quadrant™ for Email Security Platforms (ESP).
Infostretch announced a new suite of services to harness the power of data analytics for more intelligent, efficient software test automation.
Using artificial intelligence and machine learning algorithms, Infostretch’s Predictive and Prescriptive QA services not only help organizations leverage test automation data, but also help anticipate defects early to speed cycle time and improve quality.
Infostretch’s Predictive and Prescriptive QA harnesses the power of analytics to help organizations streamline and speed up test automation and accelerate their digital maturity. It allows organizations to take full advantage of the insights held in the large volumes of structured and unstructured data available from defect management tools and test automation results.
Infostretch’s Predictive and Prescriptive QA leverages Quality Engineering expertise, processes and tools such as QMetry Wisdom to help organizations:
- Reduce testing cycles by optimizing testing processes
- Predict defect ranges and the risk of modules for next versions
- Assess application lifecycle efficiency drivers
- Prioritize under-performing test use cases for greatest impact
- Identify the right types of testing and resources needed for optimization
- Convert unstructured data to usable information to optimize test automation.
“Machine learning and artificial intelligence techniques are rapidly re-defining the technology landscape. Now there is a way for organizations to leverage these techniques to speed up the software lifecycle and improve quality of outcomes,” said Rutesh Shah, Infostretch CEO and Co-Founder. “With Predictive and Prescriptive QA, enterprises can take full advantage of powerful data analytics and intelligence to maximize test automation efficiency and effectiveness.”
“AI technologies are profoundly disrupting software development,” said Katy Ring, Research Director, 451 Research. “Technologies such as machine learning, natural language processing, deep analytics and business rules are enhancing what’s possible at every stage of the lifecycle. Infostretch’s Predictive QA has been developed with enterprise test automation in mind to enable them to leverage a range of AI technologies.”
Industry News
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Sonata Software launched IntellQA, a Harmoni.AI powered testing automation and acceleration platform designed to transform software delivery for global enterprises.
Sonar signed a definitive agreement to acquire Tidelift, a provider of software supply chain security solutions that help organizations manage the risk of open source software.
Kindo formally launched its channel partner program.
Red Hat announced the latest release of Red Hat Enterprise Linux AI (RHEL AI), Red Hat’s foundation model platform for more seamlessly developing, testing and running generative artificial intelligence (gen AI) models for enterprise applications.
Fastly announced the general availability of Fastly AI Accelerator.
Amazon Web Services (AWS) announced the launch and general availability of Amazon Q Developer plugins for Datadog and Wiz in the AWS Management Console.
vFunction released new capabilities that solve a major microservices headache for development teams – keeping documentation current as systems evolve – and make it simpler to manage and remediate tech debt.
Check Point® Software Technologies Ltd. announced that Infinity XDR/XPR achieved a 100% detection rate in the rigorous 2024 MITRE ATT&CK® Evaluations.
CyberArk announced the launch of FuzzyAI, an open-source framework that helps organizations identify and address AI model vulnerabilities, like guardrail bypassing and harmful output generation, in cloud-hosted and in-house AI models.
Grid Dynamics announced the launch of its developer portal.
LTIMindtree announced a strategic partnership with GitHub.