The product development around self-driving vehicles/drones, intelligent digital assistants, digital solutions for healthcare, smart cities, etc. proves that Artificial Intelligence and Machine Learning are increasingly finding their way in almost all software development areas.
While development of AI based software is enabled through numerous platforms and available resources, there are very few resources for testing of AI based applications, and even lesser on how AI in-itself can be used to revolutionize the overall testing process in an SDLC. Leveraging Artificial Intelligence and Machine Learning techniques to add intelligence into your QA processes can help you prepare your products for current and future needs of the connected environment.
eInfochips’ Cognitive QA offerings help organizations perform both “testing of AI” and “testing with AI” in SDLC with advanced machine learning algorithms. We offer expertise, processes, and tools to help organizations overcome challenges regarding the testing process of AI based software, with best in class quality metrics/processes and faster time to market.
Why eInfochips for Cognitive QA?
Optimization of overall testing process including type of testing and resources
Test case prioritization for greater impact
Reduction in testing cycles, defect ranges and predict risk of modules
Machine learning capabilities from edge to cloud
End to End IoT test automation solution
End to End Voice Assistants Test automation framework
Partnerships with cloud platforms like Azure, AWS, IBM Watson, Google Cloud, etc
Want to explore AI for software testing?