The Role of AI and ML in Modern Testing

 Forecast Defect Analysis: In the dynamic environment of telecom networks, timely detection and diagnosis of faults are critical for minimizing service disruptions and maintaining service continuity. ML algorithms can analyse past defect data to identify patterns and trends, enabling teams to predict potential defects before they occur. By leveraging this predictive analysis, organizations can proactively address potential issues, thereby minimizing the impact on software quality and reducing the overall cost of quality assurance.

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