Traditional quality assurance (QA), focused on validating requirements, bypasses a wealth of information obtained from sources like project documentation, test artifacts, defect logs, test results, production incidents, and many more.
Ikon-Tech brings machine learning together with analytics to unlock the power of this data and drive automation and innovation, improving QA efficiencies beyond the reach of traditional QA practices. Artificial intelligence (AI) algorithms learn from test assets to provide intelligent insights like application stability, failure patterns, defect hotspots, failure prediction, and many more. These insights will help anticipate, automate, and amplify decision-making capabilities, thereby building quality early in the project lifecycle. Ikon Tech has developed a machine learning platform that will help in multiple phases of the software testing life cycle, leading to more efficient execution and reduced effort.