"Visual anomalies are difficult enough to detect for the human eye, but prove almost impossible in traditional test scripts that are not programmed to notice such anomalies. To ensure a visually perfect digital application, an automation framework dedicated to such detection is required."
-- Angie Jones, Senior Automation Engineer
Ensuring a cohesive and flawless user experience across all platforms via which customers engage with brands, led to the emergence of a new class of technology that automatically monitors, tests and alerts software developers, testers, QA and DevOps teams when new releases have visual imperfections: AI-powered visual testing and monitoring.
Download our whitepaper “The Rise of Application Visual Management: Visual AI Powered UI Management in the Era of Digital Transformation” and learn more about this category framework, which outlines the driving forces and core tenets of our collective market space:
Threats and market shifts that affect delivery pipelines and all stakeholders, from software developers to QA, DevOps and Brand Management
Mega-trends impacting visual application quality across devices, browsers and operating systems
How Artificial Intelligence can alleviate the threats associated with digital transformation, by automatically “visually” monitoring and testing applications at massive scale
How AI-powered visual testing and monitoring extends current Application Delivery Management (ADM) and Application Performance Management (APM) approaches
How and where Application Visual Management tools support Continuous Delivery, Continuous Integration
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