Today’s software engineering teams are faced with increasing application complexity, an explosion of device/browser combinations and constant business pressure to release faster. The result is an increasingly challenging quality problem that traditional approaches to test automation cannot scale to address.
Any delay between code check-in and defect detection creates friction for developers and waiting for a completed UI introduces delays for testing, putting release schedules at risk due to defects discovered late in the development cycle.
“As a mature technology being adopted by leading brands across vertical industries, Visual AI is critical in helping accelerate the delivery of digital experiences through the enablement of modern engineering practices,” said Antoine Aymer, group CTO for Quality Engineering at Sogeti, the technology and engineering services division of Capgemini.
Mark Lambert, VP and AI evangelist at Applitools, concurs adding: “Visual AI frees engineering teams from mundane and repetitive tasks resulting in fundamental increases in efficiency and overall cost reductions associated with quality. We are excited to see that Visual AI continues to be recognized by industry leaders as a critical part of a modern software delivery pipeline.”
