Machine Learning and Artificial Intelligence (AI) are necessary means for test automation success. The ever-growing demands set upon QA and DevOps teams is overwhelming. AI and Machine Learning helps companies produce higher quality and quantity of work in shorter timeframes. It’s no longer a question of whether we should incorporate AI and Machine Learning (ML) into our testing process, but what’s the best way to do so, and through what channel.
- Key Benefits of AI in Test Automation
- How AI is changing the essential nature of our work for QA + DevOps
- Why AI + Machine Learning
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Autumn is an Enterprise Account Director at Keysight Technologies, supporting clients with an AI-Powered Test Automation Solution; Eggplant Software. Eggplant Software is a leading test automation solution specializing in digital transformation. Autumn has 10 years of experience selling into the Enterprise space. She recently spoke at Keysight’s corporate conference in Las Vegas on the subject of Identifying Key Personas and Delivering Testing Solutions to C-Level Executives. Autumn provides leading testing teams a solution to support organizational objectives to ‘shift-left’ and keep up with their ever-growing client demands in the digital world.