ML-powered NOC super engineer
Challenges solved by NOC Automation
Too many alarms
Tens of thousands/month resulting in thousands of tickets to NOC
Repetitive manual triage & troubleshooting
Self-Clears are 25-40% of all tickets
Constant network expansions
New site deployments, capacity upgrades, 5G, IoT, etc
Higher network availability expectations strains engineering
Benefits of using NOC Automation
Automated triage analysis, 90% classification accuracy, 100% consistency
100% time savings in NOC Level 1 tasks, 50% efficiency gains in NOC Level 2 & 3 tasks
Due to more consistent, effective, faster processes
NOC Automation SaaS Packages
Immediate value delivery
SaaS Package Options
Three simple data sources Network Ticketing, Alarms, OSS
Automate actions like “reset,” API to tool enabling actions
Automate work order analytics
Find patterns to predict and prevent critical issues
Frequently Asked QuestionsNOC Automation
Tupl NOC Automation assists operations team to tackle workload, improving efficiency and effectiveness, quickly identifying & resolving network alarms and tickets.
Tupl NOC Automation uses all relevant Network data to triage the problem and provides action recommendations to NOC and Field Operations engineers.
The solution can also deliver as Automatic actions, such as resets or work orders, and analytics reports.
NOC Automation SaaS is delivered in cloud service (e.g. AWS, Azure, etc.) and can also be deployed on-premises, in your private cloud or data center.
It is easy and quick to get started, fit for a faster procurement process, with a functional solution in operation within 2-3 weeks.
Monthly subscription. No strings attached. Stop at any time.
One key design principle of the system is flexibility, so as long as the proper data sources are integrated, and enough training samples are provided, any root cause that is relevant to you can be addressed.
It typically depends on a combination of targeted number of root causes, number of features required to model them and the number of available samples to train the system. Some of the models created by NOC Automation have reached over 90% accuracy.
Not at all. NOC Automation leverages unsupervised clustering techniques to detect group issues with similar patterns and helps you analyze as many problems as required to train your model in the most efficient way.
No coding skills or database modeling are required, only general concepts from data science are advisable to make the most of the system. NOC Automation relies upon TuplOS, Tupl's AI engine, which is a set of utilities designed to synthesize and digitize the complex knowledge base from your engineers and free them to focus on putting their expertise to work.
Tupl can guide you through the process via a coaching and training program from our services team.
NOC Automation is conceived to work in conjunction with other systems within your company, such as Ticketing, SON, CM, or Work Order management systems. Just as any engineer would do.
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Part of the research behind this solution has been developed together with the University of Málaga as part of the project NEREA, which is funded by the Spanish Ministry of Science and Innovation and the European Regional Development Fund