Generative BI:
the revolution in the world of networks
,allowExpansion)
scenario
The evolution of Business Intelligence
Over the years, Business Intelligence (BI) has followed an evolutionary path parallel to the introduction of increasingly complex tools; tools that today increasingly integrate Artificial Intelligence.
Among the areas of BI that are benefiting the most, Data Visualization stands out without a doubt.
One of the sectors that can gain the most from this transformation is Telecommunications, thanks to the ability to quickly and accurately identify any issues within a network infrastructure. When discussing network criticalities, it particularly refers to anomalies between interfaces, such as:
- Disruption between nodes
- Excessive latency
- Hardware malfunctions
The effectiveness of Data Visualization enhanced by AI
Solution
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The integration of artificial intelligence within modern visualization tools can generate an extremely positive impact for Telco companies, especially in cases of anomaly detection.
Integrated AI agents are able to quickly identify the presence of anomalies, which may involve abnormal ping values or data from hardware temperature sensors.
Until recently, Data Visualization was perceived as merely the tip of the iceberg of BI — with its foundations in Data Analysis — today we can frame the entire system as part of a much more complex process, speaking of a multi-agent pipeline.
As illustrated in a previous article, the modern BI pipeline can be likened to an assembly line, within which specialized AI agents operate, each with a defined role. This approach effectively represents a structured operational model, based on a true multi-agent architecture.
AI Agent for every stage
The Pipeline Components
In this vision, we find the following Agents for:
In this article, we will focus on the Data Visualization phase with particular attention to the concept of Generative BI — an emerging area of BI, characterized by the presence of components/elements of Generative AI.
Generative BI
Natural interaction with data
Today, several Business Intelligence (BI) tools are available that integrate Generative Artificial Intelligence agents, each with its own specific features. These agents can be seen—at least on the surface—as advanced assistants.
But what exactly is Generative BI? Imagine importing a dataset, even through traditional methods, into a BI tool. The classic options include in-memory loading or direct query mode, when the data resides in a database. Once the import is complete, a BI tool equipped with generative components allows interaction with the dataset through natural language prompts addressed to the integrated AI agent.
The process is based on the ability to ask the agent to generate charts that will then compose the final dashboard. There are no particular limits to the types of charts the agent can create. Best practices suggest that the natural language prompt should be as consistent as possible with the dataset’s contents. It is therefore essential to have a solid understanding of the underlying data in order to interact effectively with the agent.
Prompts can be refined over time, allowing increasingly accurate and useful responses. A well-trained agent will be able to identify correlations within the dataset and autonomously suggest the most appropriate type of visualization—whether tabular, bar chart, pie chart, and so on. Moreover, current Generative BI tools enable analysts to enrich their work with structured narratives of the data, creating true data stories that, starting from charts and dashboards, clearly illustrate the results achieved and may suggest corrective actions, including those related to predictive maintenance scenarios.
Use Case: Detecting Anomalies in Network Infrastructures
In the case we examined, the agent was able to detect anomalies within a dataset extracted from a network infrastructure. The dataset contained information about both the health status of network resources—monitored through temperature and hardware utilization sensors—and the status of network interfaces, such as latency values.
The agent effectively identified significant outliers, clearly highlighting the anomalies present in the system.
The role of Net Reply
NET Reply offers not only a solid experience in the Telco sector but also cross-functional skills in the world of data and Generative BI.
Thanks to this combination, our clients can rely on a comprehensive and integrated service capable of addressing a wide range of use cases from all angles, with the passion and expertise that have always distinguished us.
If you want to learn more about our solutions and receive tailored advice, we invite you to contact us by filling out the form located at the top of the article. One of our experts will be available to explain in detail not only the illustrated use case but also the services most suitable for your specific needs.