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The Intelligent Future of Network Management

From the integration of large language models to machine learning-based time series analysis – StableNet^® further enhances the intelligent automation of networks with the help of AI

Artificial intelligence (AI) and machine learning (ML) are transforming network management by enabling intelligent automation, proactive monitoring, and data-driven decision-making.

StableNet^® leverages ML for anomaly detection, predictive maintenance, automation of configuration, network traffic forecasting, and intelligent root-cause analysis. Generative AI (genAI), including large language models, enhances user navigation and system interaction. These capabilities allow organizations to proactively identify and address issues, optimize resource allocation, and forecast future demand with high accuracy.

Through the analysis of real-time and historical data, StableNet^® provides a solid foundation for predicting trends and improving network stability. While AI is not a one-size-fits-all solution, its integration into network management significantly enhances operational efficiency, reduces downtime, and improves user experience.

Infosim^® continues to expand the application of AI through active research and real-world implementations. The StableNet^® 4-in-1 approach—covering discovery, configuration, fault, and performance management—forms the backbone of a highly automated, intelligent, and future-proof network management strategy.

Fig. 1: Event-based forecasting and AI-enhanced capacity planning in StableNet^®