Applitools Recognized as a Top AI and ML Solution in DevOps
AI-Powered Visual UI Testing Technology Provides Automated Visual Validation of Apps, Unclogging Critical Software Delivery Bottlenecks Hindering Digital Transformation
Applitools , the leader in Application Visual Management, announced Enterprise Management Associates (EMA) recognized its AI-powered visual UI testing platform, Applitools Eyes, as a top enterprise software product leveraging AI and Machine Learning (ML) to unclog DevOps and smooth digital transformation. According to the report, AI is now the number one strategic enterprise IT investment priority in 2018.
Applitools developed the first and only AI-powered image comparison technology that mimics the human eye and brain to streamline testing of web and mobile applications. The Visual AI engine only reports differences that are perceptible to users and reliably ignore invisible rendering, size and position differences. The algorithms can instantly validate entire application pages, detect layout issues, and process the most complex and dynamic pages. With tens of thousands of users across more than 300 customers, test automation engineers and developers have used Applitools Eyes to perform more than 100 million visual comparisons and one billion component level validations.
“Transitioning from releasing new software once every quarter to a state where small teams can respond to new feature requests or patch requirements within days exponentially increases the workload for test engineers,” says Torsten Volk, Managing Research Director at Enterprise Management Associates. “Applitools applies a combination of AI/ML and traditional instruction-based coding to reduce the workload of test engineers by consolidating repetitive tasks and by training AI/ML models to only raise red flags when it recognizes a problem with actual end-user impact. Applitools made it into the EMA Top 3 for AI in DevOps, as the software uses AI to achieve the same level of test coverage with the same number of engineers and without slowing down the continuous release process.”
According to the report, respondents state that it’s crucial to eliminate operational silos as a root cause of quality and speed bottlenecks among DevOps teams. Applitools is focused on exactly these problems.
To improve quality, Applitools lets DevOps teams implement visual testing and finds bugs that traditional functional testing misses. Combining visual and functional testing into a DevOps toolchain results in better app quality.
To increase speed, Applitools uses AI to highlight only significant visual bugs, ignoring visual differences that won’t matter to customers. The result: QA never wastes developer time on insignificant visual bugs.
“We are honored to be selected as a Top 3 enterprise software provider in EMA Research’s new report on AI and machine learning in DevOps,” said Adam Carmi, co-founder and CTO of Applitools. “Consumer interactions with businesses are more frequently occurring through digital user interfaces. This puts development and operations teams under the gun to deliver a visually flawless brand experience across all devices, browsers and operating systems. By allowing AI to automate visual validation of web and mobile applications, businesses streamline their DevOps processes and thus their digital transformation.”