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AI Use Case

Detect anomalies in software stacks prior to deployment

Detect anomalies in software stacks (e.g. security or downtime risks). Fro example, banks tend to have complicated legacy systems based both on multiple generations of development and software codes but also driven by historic merger activity in the industry.


Information Technology



Cost - Job automation,Risk reduction - Maximise system uptime,Operational - Increased machine uptime,Operational - Faster system build / test / deploy

Case Studies

H&R Block~H&R Block improves filing acceptance rates by 10% by monitoring the performance of its online tax filing application and user experience using machine learning,Trek Bicycle~Trek Bicycle reduces error rates in its website and bike sharing app services from 8-14% to <1% using machine learning to monitor anomalies in real-time,ReTest~ReTest automates testing of Java based software application GUI with 82% accuracy using artificial neural networks and machine learning

Potential Vendors

New Relic,New Relic


Data Sets

Structured / Semi-structured

AI Technologies

Machine Learning (ML),ML Task - Grouping - Anomaly Detection

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