{"id":32262,"date":"2021-11-02T10:11:54","date_gmt":"2021-11-02T17:11:54","guid":{"rendered":"https:\/\/app14743.cloudwayssites.com\/?p=32262"},"modified":"2022-05-20T11:01:47","modified_gmt":"2022-05-20T18:01:47","slug":"how-visual-ai-accelerates-release-velocity","status":"publish","type":"post","link":"https:\/\/app14743.cloudwayssites.com\/blog\/how-visual-ai-accelerates-release-velocity\/","title":{"rendered":"How Visual AI Accelerates Release Velocity"},"content":{"rendered":"\n

We\u2019re honored to be co-authors with Sogeti on their \u201cState of AI applied to Quality Engineering 2021-22\u201d report. In the latest chapter, learn how you can use Visual AI today to release software faster and with fewer bugs.<\/em><\/p>\n\n\n\n

In the world of software development, there is a very clear trend \u2013 greater application complexity and a faster release cadence. This presents a massive (and growing) challenge for Quality Engineering teams, who must keep up with the advancing pace of development. We think about this a lot at Applitools, and we were glad to be able to collaborate with Sogeti on the latest chapter of their landmark \u201cState of AI applied to Quality Engineering 2021-22\u201d report, entitled Shorten release cycles with Visual AI<\/a>. This chapter is focused around this QE challenge and offers a vision for how Visual AI can help organizations that have not yet adopted it \u2013 not far in the future but today.<\/p>\n\n\n\n

What is Visual AI<\/h2>\n\n\n\n

Visual AI is the ability for machine learning and deep learning algorithms to truly mimic a human\u2019s cognitive understanding of what is seen. This may seem fantastical, but it\u2019s far from science fiction. Our own Visual AI<\/a> has already been trained on over a billion images, providing 99.9999% accuracy, and leading digital brands are already using it today to accelerate their delivery of innovation.<\/p>\n\n\n\n

Leverage Visual AI to Shift Left and Deliver Innovation Faster<\/h2>\n\n\n\n

Visual AI can be used in a number of ways, and it may be tempting to think of it as a tool that can help you conduct your automated end-to-end tests at the end of development cycles more quickly. Yes, it can do that, but its biggest strength lies elsewhere. Visual AI allows you to shift left and begin to conduct testing \u201cin-sprint\u201d as part of an Agile development cycle.<\/p>\n\n\n\n

Testing \u201cin-sprint\u201d means conducting visual validation alongside data validation and gaining complete test coverage of UI changes and visual regressions at every check-in. Bottlenecks are removed and releases are both faster and contain fewer errors, delivering an uncompromised user experience without jeopardizing your brand.<\/p>\n\n\n\n

Teams that incorporate automated visual testing throughout their development process simply release faster and higher quality software.<\/p>\n\n\n\n

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Source: State of AI applied to Quality Engineering 2021-22 and Applitools \u201dState of Visual Testing\u201d Report, 2019<\/a><\/figcaption><\/figure>\n\n\n\n

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How Can You Use Visual AI Today?<\/h2>\n\n\n\n

Wondering how you can move your organization or your team over to the left side of the bar charts above? Fortunately, it\u2019s not hard to get started, and this chapter from Sogeti is an excellent place to begin. Keep reading to learn more about:<\/p>\n\n\n\n