The challenge: Towards a “self-healing” and intelligent network
In an ecosystem where connectivity drives the digital economy, the reliability of mobile and fixed infrastructures is a top priority. Faced with increasingly complex network architectures, operators must take a decisive step forward: moving from reactive management to predictive and automated maintenance.
The objective of this project is to integrate Artificial Intelligence and Data Science at the core of network supervision, in order to anticipate anomalies before they impact end users, ensuring optimal Quality of Service (QoS) and enhanced resilience.
The need: Anticipate to operate better
Modern network transformation requires overcoming major operational challenges to remain competitive:
- Proactive anomaly detection: Identify weak signals and malfunctions in near real-time to reduce Mean Time To Repair (MTTR).
- Use case industrialization: Develop scalable and reusable AI models across international subsidiaries.
- Cloud scalability: Deploy solutions on Cloud platforms to ensure flexibility and high computing power for massive data processing.
- Multi-country synergy: Align geographically distributed data and network teams under a consistent and sustainable data governance framework.
Sofrecom’s approach: Combining network expertise and data science
Sofrecom implements an agile and iterative methodology, transforming raw data flows into strategic decision-making drivers:
- Data identification and exploration: Audit of network data flows and data preparation to ensure high-precision AI models.
- Iterative AI model development: Design and training of predictive algorithms in short cycles (sprints) for rapid validation of benefits.
- Cloud-native deployment: Integration into a secure Cloud infrastructure, enabling seamless scalability of observability solutions.
- Automation and dashboarding: Implementation of intelligent alerts and interactive dashboards for proactive monitoring of critical KPIs.
The benefits: Network performance driving growth
The support of our experts transforms your infrastructure into an agile, resilient, and future-ready asset:
- Reduction in emergency interventions: Early incident detection limits service disruptions and field operations.
- Optimization of operational costs (OPEX): Automation of monitoring tasks and improved allocation of technical resources.
- Acceleration of innovation: Rapid deployment of new use cases thanks to a proven agile methodology.
- Governance and sustainability: Responsible solutions aligned with environmental challenges, promoting autonomy of local teams through knowledge transfer.
Sofrecom’s commitment is to bringing together telecom expertise and data science to build self-optimizing networks, ensuring an outstanding customer experience.
