AI-Powered Network Optimization: Unlocking 5G's Full Potential with Amdocs and Google Cloud
The telecom industry is in the midst of a significant network transformation as it faces mounting pressure to reduce operational costs, enhance network resiliency, and deliver exceptional customer experiences. To achieve these goals, telecom operators are investing and migrating their 5G ecosystem to distributed networks built upon cloud-native technologies. As the industry transitions their 5G ecosystem to the cloud, telecom operators are facing a multitude of challenges in today's dynamic environment:
- Multi-Vendor Complexity: Networks often comprise equipment from various vendors, leading to integration challenges, inconsistent data formats, and difficulties in achieving a unified network view.
- Distributed Architectures: The shift towards cloud-native and microservices-based architectures introduces complexities in managing distributed network functions and ensuring end-to-end service quality.
- Real-time Optimization: With the rise of 5G, networks must adapt to dynamic traffic patterns and diverse service demands in real-time. Traditional manual processes are too slow to effectively manage these demands.
- Exponential Data Growth: The volume, velocity, and variety of network data are exploding, making it difficult to extract meaningful insights and proactively address potential issues.
However, these challenges also present an opportunity for operators to leverage AI and automation to transform their networks and gain a competitive edge. Amdocs Network AIOps solution, in partnership with Google Analytics & Data services, is a modern approach for managing and operating complex, multi-vendor distributed networks. Built on real-time data analysis of massive quantities of telemetry data using Google BigQuery and Vertex AI services, Amdocs NW AIOps provides a comprehensive observability and automation AI solution designed as the first step to evolving to a fully autonomous network that enhances the overall customer experiences for the operator. The joint solution enables a paradigm shift in the telecom operator’s journey to autonomous networks through Google’s state-of-the-art Gen AI model, Gemini, and its native multimodal and agentic capabilities to dramatically enhance both the employees and customers productivity.
Amdocs Network AIOps and Google Cloud's BigQuery and Vertex AI: A Powerful Partnership for Network Analytics and Automation
Amdocs Network AIOps is a comprehensive platform designed to address the complexities of modern telecom networks. Amdocs Network AIOps is an network operations AI framework that consist 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:
- Data Ingestion and Mediation (Ingest Layer): The platform ingests data from diverse sources across the network, including network elements, OSS/BSS systems, and probes.
- AI/ML-driven Insights (Decide Layer): Integrated seamlessly into Google’s BigQuery Vertex AI and Gemini services, Amdocs Network AIOps provides actionable insights in support of use cases like 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.
- Correlated Workflow Observability (Observe Layer): The platform correlates fault management and performance events and service KPIs providing cross-domain observability in a single pane view of the network service.
- Closed-Loop Automation (Act Layer): Amdocs Network AIOps employs a closed-loop approach, where the system automates routine tasks, such as network configuration and incident remediation, while it continuously learns from previous actions and data patterns to improve its accuracy and efficiency over time.
Driving Actionable Network Insights Through Google BigQuery and Vertex AI
Telecom operators are leveraging 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. With respect to predictive maintenance, network downtime is a major concern for telecom operators, leading to lost revenue and dissatisfied customers. The Network AIOps solution tackles this correlating data from variety of network sources with the predictive power of Vertex AI with several powerful, no-code or low-code AutoML and BQML 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.
For all of NW AIOps use cases, Google Cloud services (eg: BigQuery and Vertex AI) are foundational to building an accurate and effective network AIOps and automation solution. Here are the Google cloud services that Amdocs Network AIOps is built upon:
- Data Ingestion and Storage: Cloud Storage provides a scalable, cost-effective, and highly reliable infrastructure for storing the massive volumes of network telemetry data.
- Data Processing: Dataflow and Dataproc provide powerful tools for processing and transforming the data into a usable format for analysis. Dataflow enables efficient stream and batch processing, while Dataproc offers a managed Hadoop and Spark environment for large-scale data processing.
- Data Warehousing and Analysis: BigQuery serves as the central data warehouse, providing a highly scalable and performant platform for storing and analyzing structured and semi-structured data. BigQueryML allows for the development and deployment of machine learning models directly within BigQuery, simplifying the process of extracting insights from the data.
- AI/ML Model Training and Prediction: Vertex AI provides a comprehensive suite of tools for building, training, and deploying machine learning models. It offers pre-trained APIs, AutoML capabilities, and a unified platform for managing the entire machine learning workflow.
Amdocs Network Platform for Operations with an embedded Gemini GenAI Network Assistant: 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 GenAI live multimodal network assistant, provides a single pane of glass for comprehensive network monitoring and management across the full stack of hardware infrastructure, container and virtualization software and network applications (RAN, 5G core, IMS core) in a multi-vendor environment.
This GenAI-powered assistant acts as an intelligent copilot for network engineers, offering:
- Proactive alerts and insights: The assistant continuously monitors the network, analyzing data from Google’s BigQuery Data Lake to identify potential issues and to correlate events from the full infrastructure stack and multi-vendor workload environment to proactively alert engineers.
- Automated troubleshooting and remediation: By leveraging its deep knowledge base and AI capabilities, the GenAI assistant can automatically diagnose common network problems and even take corrective actions, such as restarting services or rerouting traffic.
- Multimodal & Natural language interaction: Network engineers can interact with the assistant using natural language, audio, video, and images, asking questions, seeking recommendations, and receiving clear, concise answers.
Conclusion: Embracing the AI-Powered Future of Telecom with Amdocs and Google Cloud
This 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 minimize downtime and enhance network stability.
- Enhanced customer experience: AI-powered optimization ensures a seamless and reliable user experience, fostering customer satisfaction and loyalty.
- Increased efficiency: The GenAI Network Assistant empowers network engineers to 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 ML & AI capabilities. This joint Network AIOps solution empowers telecom operators to embrace the AI-powered future, optimize their 5G networks, and deliver exceptional customer experiences.
To learn how Amdocs Network Intelligence can transform your network operations, visit www.amdocs.com/products-services/intelligent-networking-suite
