GCP – AI-powered network optimization: Unlocking 5G’s potential with Amdocs

Telecommunications companies face mounting pressure to reduce operational costs, enhance network resiliency, and deliver exceptional customer experiences. Earlier this week, Amdocs and Google Cloud announced a new network AI operations solution — Amdocs Network AIOps — that uses data to help communication service providers improve their networks and customer service. 

This solution is designed to make networks more self-sufficient and efficient, leading to a better experience for customers. This is the first step for telecoms in evolving to a fully autonomous network. In this blog, we wanted to explore more deeply how Amdocs achieved these autonomous innovations using their technology and Google Cloud’s AI and cloud solutions.

Network analytics and automation

Amdocs Network AIOps is a comprehensive platform designed to address the complexities of modern telecom networks. It’s built on massive quantities of telemetry data using Google Cloud’s data and AI capabilities, including BigQuery and Vertex AI, to provide a comprehensive observabilities and automated AI solution. 

The solution is a network operations AI framework that consists of three layers — Observe, Decide, and Act — that leverages AI and ML to automate network operations, optimize performance, and enhance service reliability.

Key capabilities behind the framework of the Amdocs Network AIOps Solution include:

• Data ingestion and mediation (Observe layer): The platform ingests data from diverse sources across the network, including network elements, operations support systems (OSS) and business support systems (BSS), and probes. 

• AI-driven insights (Decide layer): With tight integration into Google Cloud’s BigQuery, Vertex AI, and Gemini services, Amdocs Network AIOps provides actionable insights in support of predictive analytics and root-cause analysis. This integration empowers operators to harness the power of cloud-based AI/ML capabilities for enhanced network automation enabling proactive network management, thereby reducing the mean-time-to-resolution (MTTR) for incidents.

• Automated workflows (Act layer): The platform automates routine tasks such as network configuration, performance optimization, and incident remediation. This frees up valuable resources and reduces the risk of human error.

• Closed-loop automation (Act layer): Amdocs Network AIOps employs a closed-loop approach, where the system continuously learns from previous actions and data patterns to improve its accuracy and efficiency over time.

Actionable network insights built on AI

Telecom operators are already using Amdocs Network AIOps to drive insights in support of a variety of networking use cases such as anomaly detection, root cause analysis, and predictive maintenance. 

Network downtime is a major concern for telecom operators, leading to lost revenue and dissatisfied customers. The Network AIOps solution significantly reduces the downtime by correlating data from a variety of network sources and using the predictive power of Vertex AI’s no-code or low-code models. 

By training ML models on historical network data, including performance metrics, fault logs, and environmental factors, this solution can accurately predict the likelihood of future network failures. This allows operators to proactively schedule maintenance, replace aging equipment, and optimize network configurations to minimize downtime and ensure uninterrupted service.

Google Cloud services such as BigQuery and Vertex AI are foundational to Amdocs Network AIOps. These services enable transformation and ingestion of petabytes of data, and near-real-time predictive analytics, anomaly detection and correlation, helping telecommunications businesses in meeting the goals of greater network efficiency and reliability and improved customer satisfaction.

Your intelligent network copilot

Managing the complexity of 5G networks can be overwhelming for even the most skilled network engineers. The Amdocs Network Platform for Operations (Act layer), integrated with a multimodal gen-AI-powered live network assistant, provides a single interface for comprehensive network monitoring and management across the full stack of hardware infrastructure, containers, virtualization software, and network applications (RAN, 5G core, IMS core) in a multi-vendor environment.

This gen-AI-powered assistant acts as an intelligent agent for network engineers, offering:

• Proactive alerts and insights: The assistant continuously monitors the network, analyzing data from BigQuery data lake to identify potential issues and correlate events from the infrastructure stack and multi-vendor workload, and use it to proactively alert engineers.

• Automated troubleshooting and remediation: By leveraging its deep knowledge base and AI capabilities, the gen AI assistant can automatically diagnose common network problems and even take corrective actions, such as restarting services or rerouting traffic

• Multimodal and natural language interaction: Network engineers can interact with the assistant using natural language phrases and sentences, as well as audio, video, and images — making it easier to ask questions, seek recommendations, and receive clear, concise answers.

Embrace the AI-Powered future of telecom

The joint Network AIOps solution from Amdocs and Google Cloud delivers a wide range of benefits for telecom operators:

• Reduced operational costs: Automation, predictive maintenance, and intelligent resource allocation lead to significant cost savings.

• Improved network resiliency: Proactive issue identification and automated remediation help minimize downtime and enhance network stability.

• Enhanced customer experience: AI-powered optimization provides an integrated and reliable user experience, fostering customer satisfaction and loyalty.

• Increased efficiency: The gen AI Network Assistant helps network engineers work more efficiently, freeing up their time for strategic initiatives.

The collaboration between Amdocs and Google Cloud brings together the best of both worlds: deep telecom expertise and cutting-edge AI capabilities. The joint Network AIOps solution lets telecom operators embrace the AI-powered future, optimize their 5G networks, and deliver exceptional customer experiences.

To address the challenges of AI-driven 5G networks, please visit Amdocs Network AIOps Solution website. And you can learn more about how Google Cloud is partnering with communication service providers to deliver AI-driven telecom at Google Cloud’s industry site.