Regardless of the industry, product validation is a labor-intensive process and is more complex than ever before due to relentless technological advancement. As companies continuously accelerate the pace of product development, and increase the volume of new products they create, there is a growing need for new methods of product validation.
By using artificial intelligence to automate testing and analysis, companies can significantly lower product validation costs, improve the validation process, and speed up time to market for new products.
Artificial intelligence reduces costs and accelerates time to market
By leveraging AI for test creation, test execution management, and test results analysis, companies can improve product validation processes, lower costs, and achieve faster time to market. Super.AI's Unstructured Data Processing (UDP) Platform is designed to increase validation quality by authenticating difficult to validate functionalities, resulting in the discovery of issues that would have otherwise gone undetected during the product development phase.
AI is able to efficiently analyze thousands of historical tests to uncover hidden patterns that would require thousands of hours of manual effort (if the issues could even be discovered at all).