As Communications Service Providers (CSPs) embark on rolling out the latest 5G enterprise services, MYCOM OSIs AInsights application is an essential capability for CSPs to deliver services with AI-based insights for high performance. It operates at two levels: 1) feeding normalized network and service data for CSP Data Lakes and 2) feeding AI-based predictive insights for the OSS ecosystem applications. Offered on-demand from the cloud, pre-integrated with most network deployments and based on pre-packaged AI pipelines, the AInsights application eliminates months of data mining effort intelligently. AInsights is built on the award winning EAA platform, proven at some of the worlds largest, most complex Tier-1 CSP networks. EAA AInsights application enables CSPs to continuously predict the performance of their networks and services, and to proactively identify and resolve problems before they impact their customers. This is specifically essential for the delivery and the assurance of high reliability and low latency 5G enterprise services.

Features -Open to OSS ecosystem and data lakes: High Integration flexibility with Industry Standard Interfaces (TMF), backed by Open standards. -AI based insights for critical telco use cases: AI-insights are provided for PM forecasting and anomaly detection, Fault related frequent sequence discovery, auto-discovery correlation, Root Cause Analysis and automatic remediation. -High Scalability: Collects, stores, analyses, correlates, recognizes and predicts the behavior of thousands of network entities and applications simultaneously in near real-time. -Deeper visibility: Simultaneous multi-lens anomaly detection across different applications, ports, IP devices, VLANs etc. (For example, 1000s of anomaly detection models can be simultaneously deployed). -Suppression of non-actionable alerts: Frequent pattern matching for higher accuracy/reduction. Discovery of complex data correlations for higher suppression rates (99%+). -Replicable data models: Enables replication of data models for different network functions (RAN/IP/PM/FM etc.) for a 360 degree / deeper network view. This includes automating model training. -Predictive Maintenance Unit (PMU): PMU, the core component of AInsights, allows dynamic, need-based activation, creation and tear-down, which increases the efficiency and accuracy of network maintenance.

Benefits -Investment efficiency: AInsights focuses on the most revenue-generating locations (Hotspots) of the network, maximizing investment efficiency. -Operational benefits: Reduces MTTx and NOC/SOC manpower costs: Calculable hours and costs for each network type. Reduces MTTR up to 70% through early predictions -AI cost benefits: AInsights drastically reduces the cost and adoption effort of AI-based Automation compared with CSPs internal AI projects (up to 78%) -High scalability and low error: Predictive performance of thousands of network entities and applications simultaneously in near real-time. -Drives reduced time-to-value approach: Orchestrated microservices with predefined use cases for a wider ecosystem. -Supports CSPs rapid revenue stream expansion: Leveraging into building analytics and intelligent services. -Zero Time to Value: Orchestrated microservices with predefined use cases reduce the time to value; Cloud-native and cloud-agnostic. -Usage-based Pricing Model: Simpler pricing models for reduced TCO.