AI & Analytics
AI and machine learning in mobile network infrastructure is expected to lower costs and speed new revenue generating service offerings.
Mavenir AI and Analytics modernizes the operator business for the 5G era by combining cloud and intelligent networking to help lower costs, provide superior end-to-end performance and optimize the user experience.
AI and machine learning (ML) in mobile network infrastructure is expected to lower costs by automating functions that typically require human interaction and to speed new revenue generating service offerings, becoming increasingly important as edge, open radio access networks (Open RAN), and 5G cores get deployed.
Mavenir’s AI and Analytics portfolio includes solutions designed to analyze and derive inferences from vast amounts of unstructured data to automate networks, achieve cost savings, and build out 5G use cases.
Mavenir’s near-RT RIC is the first to control RAN activity at BOTH the cell and individual user level. The containerized application hosts trained AI/ML applications to infer and control O-RAN elements in near-real-time.
Mavenir’s non-RT RIC is a containerized application that uses advanced machine learning algorithms to optimize network performance and train ML models using long-term RAN data for dynamic and adaptive policy and control.
Mavenir’s Next-Generation Operations Support Systems (ngOSS) provides agility, flexibility, and speed to market, ultimately helping CSPs realize the true potential of 5G while offsetting the risk of their investment.
New data analytics function for 5G networks, NWDAF uses AI/ML algorithms based on the requirements of the consuming network function to make intelligent decisions, improve network performance, maintain high availability, and optimize the network resource.
Mavenir’s suite of Analytics tools deliver an advanced Observability Framework (OBF) to help operators collate and visualize network performance, faults, resource utilizations, incidents and other insights, as well as engage in predictive network planning and optimization in near real-time to enable network automation.
Working with partners at all layers including Orchestration/Slicing, Intelligence, Cloud & Automation
With the cloudification of mobile networks, it becomes essential to automate operational processes utilizing real-time and big data analytics based on advanced Machine Learning algorithms. Mavenir’s AI & Analytics platform delivers extensive insights that are mandatory for Webscale network automation, slice management, security, and many other use cases defined for Industry 4.0 applications (EdgeAI), RAN intelligence, network optimization, predictive maintenance, business intelligence, and security. The Artificial Intelligence/Machine Learning (AI/ML) algorithms are defined with Mavenir’s deep telecom domain expertise while keeping the interfaces standards compliant and the platform open for collaborative innovation.
The Analytics solution aggregates data from all segments of the network, such as RAN, Packet Core, IMS, Messaging, Transport, Platform and Devices. This provides the ability to correlate metrics and events across all nodes to create an end-to-end view of the network, flow, or a slice. The algorithms can turn this end-to-end insight into tangible inferences and actionable commands to automate network operations. The solution is based on all open interfaces and APIs allowing it to work with any vendor’s network functions.
Mavenir’s open and standards compliant interfaces offer flexibility in picking machine learning framework for various AI application development. The vendor agnostic AI/ML with open interfaces and architecture provide an incrementally upgradable and extensible platform that can collate 3GPP, O-RAN, and cloud-native philosophies. Analytics built on a cloud-native platform and enhanced by artificial intelligence and machine learning is encapsulated in Mavenir’s AI and Analytics product portfolio including EdgeAI applications. Massive amounts of data are the fuel for any meaningful AI/ML engine. Mavenir leverages end-to-end telco domain specific data and Analytics systems to deliver intelligence & insights necessary for closed loop automation.
30 September 2022
A cloud-native network opens several new possibilities for the service providers to deliver a differentiated experience and accelerate the launch of new services even as they bring down the total cost of ownership of running the network.
30 September 2022
Mavenir announces integration of cloud-native 5G solutions with public cloud infrastructure on Google Cloud, expanding on Mavenir’s “One Network, Any Cloud All Software” strategy.