Bwtech launches NetWarden, network monitoring and troubleshooting automation, powered by Machine Learning

October 31, 2018 London, United Kingdom – Bwtech, a leading provider of end-to-end performance monitoring and optimization solutions for the mobile communication industry, announced today the launch of an innovative tool, NetWarden.

The new tool takes advantage of state-of-the-art AI/ML algorithms to correlate all the data sources collected from across the network in order to automatically provide actionable insights for network monitoring, optimization and troubleshooting.

The first automation step begins by identifying network anomalies across the thousands of network elements. Utilizing propriety Machine Learning Anomaly Detection algorithms, real network issues are identified, based on historical behavior of each Network Element and each Performance Indicator.

NetWarden then automatically correlates multiple data sources such as the alarm, configuration and performance data along with the logically related network elements to discover and identify the probable root causes of the anomalies, root causes that are extremely difficult to identify using traditional engineering techniques.

Finally, the tool proposes a course of action for fast and effective resolution of issues.

On the whole, NetWarden reduces the average time taken for the network monitoring, troubleshooting and optimization process by around 90%.

The new Bwtech\-\-s tool allows network engineers to monitor, optimize and troubleshoot thousands of network elements in a much smarter way with an innovative and intuitive User Interface that is designed to significantly improve engineers productivity.

NetWarden is fully integrated into NetChart, a complete Performance Assurance platform, that includes Performance Monitoring, Configuration Management, Fault Management and Geo-location.

This integration makes it extremely easy to switch from the innovative optimization approach to a more traditional one and to correlate the automated troubleshooting with the customer experience provided by the geolocation data.

With the migration to 5G and NFV-based networks, NetWarden\-\-s Machine Learning and real automation approach to network monitoring and optimization becomes crucial when effectively managing extremely complex networks, networks that can no longer be monitored and optimised only by engineers or with rule-based algorithms.

Bwtech will showcase NetWarden at Telco Data Analytics in London, on Oct 31st and Nov. 1st.

For further information, email hello@bwtech.com

Posted by Publisher on 31. October 2018. Filed under Telecommunication. You can follow any responses to this entry through the RSS 2.0. You can leave a response or trackback to this entry