Aira Technologies said its new Naavik platform uses generative AI technologies to allow mobile network operators to control their networks. #pressrelease
November 4, 2024
Aira Technologies, the AI defined networking pioneer, launched a robust GenAI-powered platform that answers Mobile Operators' calls for vastly more efficient wireless networks.
Naavik is Aira's intent-based platform that uses GenAI to help network engineers deal with the most pernicious challenges holding back modernization of the Telco Radio Access Network (RAN). Naavik overcomes hurdles that span a range of use cases, including:
Observation and Analysis: Connects to an Operator's KPI (Key Performance Indicators) database and answers intent-based questions, analyzes network data, and performs projections by using an LLM fine-tuned to the Operator's database
KPI Prediction: Builds models that capture correlations and predicts KPI evolution.
Anomaly Detection: Constructs a causality graph and uses a model-based approach to detect anomalies more holistically in key Telco KPIs.
Root Cause Analysis: Connects to historical configuration change data and uses a model-based approach to identify root causes for KPI anomalies.
AppGen: Design, develop, test and deploy network applications by using GenAI to convert flowcharts-based routines described in natural language into SMO-deployable apps.
Energy Management: Saves energy without affecting user experience by predicting the effect of a band switch-off on key network KPIs.
Zero-Touch Provisioning: Networks set up in minutes with zero manual configuration required.
An example of Naavik's efficacy is the removal of time-consuming and complex network setup in military field operations. Setting up traditional defense communication networks can take up to 48 hours, while deployment inefficiencies still leave over 60% of network capacity underutilized. With zero-touch provisioning, Naavik deploys in <15 minutes, using AI-driven algorithms to intelligently reallocate bandwidth for mission critical communications even in constrained environments.
Read the full press release here.
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