by System Verification

Posts by

Karol Mioduszewski

Managing Director Poland at System Verification

System Verification No code AI Machine Learning

Key considerations before enabling no-code, AI solutions or machine learning in your QA process

Right now, on the market there are a plethora of commercial and open-source no-code and low-code solutions available that can help organizations automate many of the tasks associated with QA (Quality Assurance) and improve the effectiveness and efficiency of testing. These tools offer a wide range of features, including AI-powered test case generation, test execution, and test management. By leveraging these tools, organizations can streamline their QA processes.

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Revolutionizing QA: How No-Code, AI-Powered Solutions and Machine Learning are Transforming Software Testing in 2023

As we look towards 2023, we can expect to see a continued focus on improving the effectiveness and efficiency of QA (quality assurance) processes. One trend that is likely to gain traction in the coming year is the use of no-code and low-code solutions, driven by advances in AI technology.

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