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The most significant challenge for an app team in today's Agile, Continuous Integration (CI), and DevOps-driven world is just making sure the app still works like it did yesterday. There isn't enough time to manually test each build, let alone craft test automation. Even when teams do try to test, it adds days of delay and thousands of dollars of cost, and yet the team is still not happy with the results. In this episode, Jason Arbon explains how Artificial Intelligence (AI) and Machine Learning can solve this problem, and many others
By Joe Colantonio4.9
9999 ratings
The most significant challenge for an app team in today's Agile, Continuous Integration (CI), and DevOps-driven world is just making sure the app still works like it did yesterday. There isn't enough time to manually test each build, let alone craft test automation. Even when teams do try to test, it adds days of delay and thousands of dollars of cost, and yet the team is still not happy with the results. In this episode, Jason Arbon explains how Artificial Intelligence (AI) and Machine Learning can solve this problem, and many others

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