Infosys AI-first Testing, part of Infosys Topaz, is a cutting-edge solution designed to take quality engineering (QE) to the next level. Using a combination of supervised and unsupervised machine learning, it analyzes data such as project documentation, test artifacts, defect logs, test results, and production incidents.
This approach enables early detection of defects, test optimization, and prediction of failure points. The result is reduced cost of testing software and enhanced customer satisfaction.
With Infosys AI-first Testing, organizations can overcome complexities in testing artificial intelligence and machine learning (AI/ML) as well as natural language processing (NLP) implementations. Leveraging AI, the platform significantly increases the efficiency of software testing across all stages of the quality assurance (QA) lifecycle.
Further, it harnesses the game-changing power of Generative AI.
How Infosys AI-first Testing helps enterprises:
Infosys Test Suite Optimizer helps identify redundancies and similarities in test suites. This can reduce the size of test suites by 30%.
100% automation coverage across heterogeneous technologies can be achieved with Infosys Robotic Test Automation framework.
The Infosys model evaluation tool can help improve model accuracy by up to 40%.
Infosys Defects Analytics is a solution that can detect high-risk areas in an application with a Pareto analysis. It reveals which modules or applications are generating 80 per cent of the defects.
Infosys Customer Sentiment Analysis is a tool that can extract insights from a customers’ social media accounts to help enhance customer experience.
Infosys Document Validation uses AI to analyze digitized versions of handwritten documents. It suggests corrections and helps reduce errors by 50%.