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AI & ANALYTICS 

NETWORK INTELLIGENCE AND EDGEAI

With the cloudification and automation of mobile networks, it becomes essential to utilize AI & Analytics solutions in a scalable platform combining real-time and the big data analytics based on advanced Machine Learning algorithms. Mavenir’s AI & Analytics platform delivers extensive insights that are mandatory for Web Scale network automation, slice management, security and many other use cases defined for the MEC (EdgeAI), RAN intelligence, traffic optimization and security. The AI/ML algorithms are defined with Mavenir’s deep telecom domain expertise, while keeping the interfaces standards compliant & the platform open for collaborative innovation.

OPEN AND EXTENSIBLE SOLUTION

Mavenir’s open and standards compliant interfaces offers 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 Analytics product portfolio including EdgeAI applications. Massive amount of data are the fuel for any meaningful AI/ML (Artificial Intelligence/Machine Learning) engine. Mavenir leverages end-to-end telco domain specific data and Analytics systems to deliver intelligence & insights necessary for closed loop automation.

UNIFIED ANALYTICS & AI/ML FOR END-TO-END SYSTEM

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 the network operations. The solution is based on all open interfaces and APIs allowing it to work with any vendor’s solutions.

AI-Foundation-Diagram

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MOBILIZING THE CUSTOMER SERVICE EXPERIENCE

In this paper, we examine the different factors businesses should consider when upgrading their solutions or considering contact center technology for the first time.

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Non-RT RAN Intelligent Controller

Mavenir’s non-RT RAN Intelligent Controller (RIC) is a containerized application that uses advanced machine learning algorithms to optimize network performance and train ML models using long term RAN data

EdgeAI

Mavenir’s EdgeAI solution set provides real-time inference capability such as objection detection, facial recognition and other use cases, provide necessary acceleration for mass scale adoption of AR/VR applications and ultra-low latency processing of time-critical sensor feeds from massive number of Industrial IoT devices.

Near-RT RAN Intelligent Controller

Mavenir’s near-RT RAN Intelligent Controller (RIC) is a containerized application that hosts trained AI/ML applications to infer and control O-RAN elements in near-real time.

SIGNIFICANT COST REDUCTION USING AI/ML

Operators deploying Mavenir’s AI-driven parameter tuning application can reduce their operational expense related to network optimization by up to 66%

By automating RAN configuration optimization, operators can save the cost and time of more labor-intensive methods such as drive testing, log inspection, and manual calibration while increasing the speed of deployment. Improved and optimized network functions utilizing machine learning techniques can play a valuable role in reducing operating expenses and give operators complete control over their network. Endless use cases and applications of the AI/ML algorithms and pipelines exist for automation of operations and monetization.

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