Tuesday, May 13, 2025

​Amdocs & Google Cloud expand AI-driven 5G operations​

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Amdocs will launch a solution using Google Cloud’s AI and BigQuery to automate network operations and enhance customer experiences

Amdocs, a prominent provider of software and services to communications and media companies, has partnered with Google Cloud to revolutionize the management and optimization of 5G networks through artificial intelligence. Leveraging Google Cloud’s Vertex AI and BigQuery, Amdocs is introducing its Network AIOps solution, designed to automate intricate network operations, bolster service reliability, and enhance customer experiences for 5G network providers.

In the current landscape, communications service providers (CSPs) are under increasing pressure to minimize operational expenses, strengthen network resilience, and deliver outstanding customer service. To meet these demands, many are transitioning their 5G infrastructures to distributed networks founded on cloud-native technologies. This evolution presents challenges such as integrating multi-vendor equipment, managing dispersed architectures, necessitating real-time optimization, and extracting actionable insights from the surge of network data.

Also Read: Aviz Upgrades Packet Broker Lineup with Advanced Mobile 5G Service Nodes: Broadens AI-Driven Network Copilot’s Use Cases

Amdocs Network AIOps is constructed on Google Cloud’s robust AI infrastructure, incorporating services like Cloud Storage, Dataflow, Dataproc, BigQuery, and Vertex AI, providing a scalable and dependable foundation for network optimization. This solution offers:

  • AI-driven insights: Utilizing Google Cloud’s BigQuery, Vertex AI, and Gemini models, the platform delivers predictive analytics and root-cause analysis, enabling CSPs to proactively manage networks and reduce incident resolution times.

  • Automated workflows: Network AIOps streamlines routine tasks—including network configuration, performance optimization, and incident remediation—thereby freeing resources and reducing human error.

  • Closed-loop automation: The system continuously learns from data and actions to enhance accuracy and efficiency, progressively optimizing network performance.

  • Predictive maintenance: Employing machine learning, the solution forecasts potential network failures to minimize downtime, improve resiliency, and lower operational costs.

This collaboration between Amdocs and Google Cloud signifies a significant advancement in the telecommunications industry, aiming to equip CSPs with the tools necessary to navigate the complexities of modern 5G networks and deliver superior customer experiences.

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