Overview

Learn about AIDA built-in intelligence and how it can help you detect anomalies in your workload, prevent problems and reach operational excellence.

Modern businesses need to process data faster and more efficiently to make informed, data-driven decisions. To reach this objective, items or events that do not conform to an expected pattern must be detected immediately and prompt responses must be provided.

Manual methods are not effective to handle and analyze complex data since they leave room for human errors, false positives, or missed anomalies. Therefore, a new proactive approach to detect anomalous behaviors and predict issues is needed.

With Artificial Intelligence and Machine Learning techniques, automated anomaly detection is becoming a reality. By analyzing and predicting time series, AI powered anomaly detection can be a key to anticipate and prevent issues, saving energy that companies can utilize to grow their business.

Anomaly Detection and Problem Prevention in HCL Workload Automation

A new component is available in HCL Workload Automation – AI Data Advisor (AIDA)– based on AI and ML techniques. AIDA enables fast and simplified data-driven decision making, for an intelligent workload management. By analyzing historical data and metrics gathered by HCL Workload Automation and HCL Workload Automation for Z, and predicting their future patterns, AIDA identifies anomalies in KPI trends (such as number of completed jobs in the current plan, job duration, and job end-time) and sends alerts immediately to anticipate and prevent problems and delays. Alerts show up on the Workload Dashboard and can be notified via email.

Also, when an alert is issued, an event rule can be defined in HCL Workload Automation to open a ticket on the supported service platform.

AIDA frees up Product Administrators, Lines of Business Administrators, and Operators from the burden of managing workload issues, so they can better focus on workload management and optimization. It provides a proactive approach to minimizing operational risk since alerts are not triggered by issues but are sent to prevent issues.

AIDA Benefits

• Provides AI-powered automation, ensuring workload runs as expected, smoothly and without delay

• Provides a proactive approach to minimizing operational risk since alerts are sent before problems or delays occur

• Enables fast and simplified data-driven decision making

• Improves root cause analysis

• Provides new monitoring capabilities in cloud native architecture

• Improves stability through risk assessment

• Enables proactive SLA (Service Level Agreement) management

• Increases HCL Workload Automation reliability of both infrastructure and workload