Avanseus Cognitive Assistant

Avanseus Cognitive Assistant is a cloud-native software solution developed by Avanseus Holdings Pte. Ltd. that combines machine learning and patented algorithms to deliver Artificial Intelligence for Operations (AIOps). According to the vendor, this solution aims to assist organizations in managing large-scale and mission-critical technology infrastructures by providing predictive analytics, anomaly detection, and cross-domain correlation. Avanseus Cognitive Assistant is designed to cater to the needs of various-sized organizations, including large enterprises and mid-sized companies, and is applicable to industries such as telecommunications, data centers, and manufacturing.

Key Features

Predicting Failures: According to the vendor, Avanseus Cognitive Assistant utilizes predictive analytics to forecast potential failures of machines, components, or services. By analyzing historical data, including alarms and additional causal parameters, operation teams can take preventive actions to reduce costs and improve customer satisfaction.

Anomaly Detection: Avanseus Cognitive Assistant offers real-time anomaly detection to predict abnormal trends in network or service performance. The vendor claims that this feature helps ensure a positive customer experience and allows for proactive action planning, particularly for latency-sensitive applications and network security incidents.

Cross Domain Correlation: The vendor states that Avanseus Cognitive Assistant enables automatic correlation of faults across different assets, manufacturers, technologies, or domains. This capability is said to be crucial for fault prediction in large technology infrastructures like telecom networks or data centers.

Universal Prediction Algorithm: Avanseus Cognitive Assistant utilizes a patented universal prediction algorithm that, according to the vendor, can provide fault and degradation prediction based on as little as 3 to 6 months of historical alarms. This algorithm is applicable to assets used in various industries, including telecommunications, data centers, and manufacturing.

Real-time Prediction: According to the vendor, Avanseus Cognitive Assistant enables real-time prediction by leveraging unique approaches on transfer learning and high-performance parallel computation hardware like GPUs. This is claimed to ensure timely action and reduce the impact of potential failures.

Real-time Anomaly Detection: Avanseus Cognitive Assistant incorporates real-time learning techniques and handles large-scale streaming data to accurately identify the onset of anomalies. The vendor states that it supports closed-loop automation for auto-remediation, integrating with ecosystem software and flexible rule configuration.

Predictive Tracking: According to the vendor, Avanseus Cognitive Assistant introduces predictive tracking based on a health index, which aggregates trends of individual Key Performance Indicators (KPIs) into a single number. This simplifies the tracking of multiple KPIs for a single equipment or service and facilitates focused monitoring and detection.

Automated Fault Correlation: Avanseus Cognitive Assistant incorporates a patented method for automated discovery of fault clusters, along with parent and child cause tagging. The vendor claims that this allows for the correlated discovery of faults, which can be verified by domain experts using a GUI-based process flow.

End-to-End Topology Stitching: The vendor states that Avanseus Cognitive Assistant provides automated end-to-end stitching of topology for networked setups based on domain-specific inventory information. This feature facilitates the fault discovery process and enables topology-correlated fault prediction.

End-to-End Path Discovery: Avanseus Cognitive Assistant offers end-to-end path discovery, providing information on redundancy and capacity constraints based on topology. According to the vendor, this helps prioritize predicted faults, particularly in capacity planning or optimization decisions.