Oracle introduced Oracle Network Analytics Suitethe new portfolio of native analytics solutions from network analytics that combines network function data with machine learning and artificial intelligence to help operators make more informed and automated decisions around the performance and stability of their entire 5G network foundation.
The first offering of the Network Analytics suite, Oracle Communications Network Data Analytics Function, It is now available. With this offering, operators can quickly identify anomalies that can cause catastrophic network function failures and impact customer service.
“Driving innovation with insights from trusted data and rich analytics is not only critical to competing in today’s marketplace, it is a game changer in how service providers can achieve higher profitability, improve quality of service and create new revenue streams,” said Andrew Morawski, senior vice president and general manager, Oracle Communications Networks.
“Our 5G network analytics suite leverages Oracle’s network and cloud expertise into a powerful set of tools that help operators better manage and optimize their 5G networks,” added Morawski.
Optimizing 5G networks with the Network Analytics feature
Based on Cloud Native Computing Foundation (CNCF) principles and compliant with 3GPP standards, the network data analytics feature is a containerized microservices-based architecture managed by Kubernetes. It serves as a key data and analytics repository with standard interfaces, to store and share information that can support use cases across the 5G network.
The offering aggregates real-time and historical data, such as control signaling metrics, network function status, congestion, and quality of service, all into one intuitive dashboard. By applying machine learning, predictive analytics, and AI to this data, service providers can better understand the performance of their 5G core and make better decisions. This enables operators to streamline network operations and planning based on insights generated from current, predicted, and even simulated events on their network.
With this offering, Content Services Platforms (CSPs) can embed automation into applications to monitor and audit software components. This enables anomaly detection to prevent events such as network function failure, which could lead to network quality degradation. Also, another function that it offers is to support the monetization of the network with the exchange of data and knowledge with third-party developers to create new services.
And because it is based on open standard interfaces and supports both private and public environments and multi-cloud deployments, the network function is interoperable and accessible regardless of the size of the network or the core network function ecosystem in use. This is particularly useful for service providers looking for an enterprise-wide analytics strategy, who can implement the offering to go beyond predefined 3GPP use cases and work with broader analytics solutions.
“Communications service providers are challenged by the levels of complexity revealed by new technologies. Building competitive advantage requires not only effective operations management, but advanced insight into network behavior,” said Karl Whitelock, research vice president, communications service provider operations and monetization, IDC. “Accessing enterprise-driven business opportunities and creating value within new industries goes far beyond traditional connectivity services. Network-level analytics must play an important role in addressing customer-defined solution needs,” he stated.