naavik

3 Challenges to Operational Efficiency

1 Too Much Data

Telecom networks generate a LOT of data. Operators are painfully aware that this data can be used to better design and better manage their networks and possibly even generate new streams of reveneue. However, today this is easier said than done.

2 Disjointed Analysis

At most operators, it takes two teams to generate insights from data: 1) the first team knows how to ask the right questions, and then 2) the second team writes the appropriate big-data code to answer the questions based on data.

But this process is time-consuming and prevents quick experimentation and testing of ideas.

3 Slow Experimentation

Operators are looking for ways to put their data to use quickly and efficiently. They're also increasingly looking to use a data-driven approach for a) Anomaly detection, b) Network Optimization, and c) Quality of Service Optimizations.

Using network data to gain quick insights and drive improvements via iterative experimentation requires massive improvements in operational efficiency.

Aira's Solution for Operational Efficiency

Naavik is Aira's intent-based platform that uses GenAI to help network experts deal with any issue affecting the RAN.

Intent-Based RAN Assistant for the Network

Observation

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Observation Opportunity

Telco data is diverse and spread across multiple databases, e.g., Performance Metrics, Configuration Settings, and User-Equipment metrics. Accessing & visualizing this data and deriving insights requires specialized query scripts (SQL, Snowflake, etc.). The Network and SW teams must interact.

Observation using Naavik

Naavik understands the intent behind natural-language visualization queries and can retrieve appropriate data from the underlying database.

Naavik then automatically writes scripts that run on the data to generate requested visualizations.

Analysis Opportunity

Telco operators have many pre-written tools and routines that operate on data to derive insights. These scripts are rigid and usually require the network data to be pre-processing before being fed into the scripts. Any ill-formed data (e.g., missing columns, different format than expected, etc.) must be handled manually.

Analysis using Naavik

Naavik understands how to use existing scripts, knowing the input arguments that a particualr script takes, the format of the data, etc.

Naavik can translate a user's intent about using a particular script and do all the necessary pre-processing and organization to use the script. It can also use the script/tool as part of a larger script.

Analysis

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Control

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Control Opportunity

Every EMS/NMS system has its own GUI or script to control various aspects of the network.

Control using Naavik

Naavik can map natural language to map control requests to specific NMS API calls.

Automation Opportunity

Today, writing automations for the network can take many months. It's a long, complex task with rigid process. Naavik reduces this duration to a few days by allowing network engineers to experiment and gain insights from their network data using a conversational, intent-based interface.

Automation using Naavik

Naavik understands natural-language visualization intents and can map these intents into the appropriate columns in the underlying data. It then automatically writes scripts that run on the underlying data to generate the requested visualizations.

Automation

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Architecture

Naavik is a software module that runs on the operator's on-prem cloud. For Observation and Analysis of the network, Naavik only needs northbound and read-only access to data. It can get this either from:

Static / Backward looking database

A dynamic database that is ingesting data via a streaming interfaces (e.g., kafka).

For control and automation, Naavik needs southbound access to the RAN elements either from:

A SON via NMS

An SMO via a Non-Real Time RIC

“VMware delivers an SMO and RIC platform that enables CSPs and ecosystem partners to harness the full power of generative AI. This RIC and SMO platform offers flexibility and functionality that enables Aira’s [Naavik] to transform RAN automation and optimization across the industry. Our work with Aira aligns to our software-defined edge approach—enabling network programmability and optimizing placement of workloads at the edge.”

Padma Sudarsan

Chief of Architecture, Telco, Software-Defined Edge Division, Broadcom

naavik

Improve Operational Efficiency

What is Operational Efficiency?

3 Challenges to Operational Efficiency

1

Too Much Data

2

Disjointed Analysis

3

Slow Experimentation

naavik

Aira's Solution for Operational Efficiency

Intent-Based RAN Assistant for the Network

Observation

Observation Opportunity

Observation using Naavik

Analysis Opportunity

Analysis using Naavik

Analysis

Control

Control Opportunity

Control using Naavik

Automation Opportunity

Automation using Naavik

Automation

naavik

Architecture

Naavik Perspectives.