Leveraging Machine Learning
Leveraging Machine Learning
HCL AIDA leverages machine-learnings techniques to identify patterns and anomalies in KPI trends (such as the number of completed tasks in the current plan, task duration, and task end-time) and perform early detection of workflow execution issues by analyzing historical data and metrics gathered by Workload Automation and Workload Automation for Z.
The user can now see trends and warning signals on the workflow Dashboard, but the system can send the same notification via email as per configuration.
HCL AIDA's anomaly detection and proactive notification system minimizes operational risk, empowering Product Administrators, Lines of Business Administrators, and Operators.
Proactive Workload Management and Optimization
AI-powered automation, ensuring workload runs as expected: smoothly, and without delay
Proactive approach to minimize operational risk and guarantee SLA by anticipating production issues or delays
Faster and simplified data-driven decision-making
Improved root cause analysis
Stability through risk assessment
Increases platform reliability