Ericsson’s AI-Powered Solution Boosts Transport Network Performance

• AI/ML predictive analytics for intelligent problem resolution.
• Real-time network observability and data analysis.
• Flexible and scalable for various network sizes.

In a significant leap forward for telecommunications, Ericsson has unveiled its latest innovation, the Transport Automation Controller. This cutting-edge solution addresses the evolving challenges faced by service providers, empowering them to proactively manage network status and performance through data-driven decision-making.

1/3 #Ericsson has just received funding to advance the development of smarter #Cloud and #Edge applications. This is a major step forward in the tech industry 🚀

— Ericsson (@ericsson) November 14, 2023

The Transport Automation Controller serves as a game-changer by instantly identifying network degradations and capacity utilization issues. By leveraging artificial intelligence (AI)-driven automation, the system not only reduces human errors and troubleshooting efforts but also provides valuable insights to optimize overall network performance.

2/3 We have been selected to participate in the Important Project of Common European Interest on Next Generation Cloud Infrastructure and Services (IPCEI-CIS) 📡 This is a significant recognition of our contribution to the field.

— Ericsson (@ericsson) November 14, 2023

The prevailing manual approach to solving network issues has long plagued service providers with operational costs and the risk of human errors and security concerns. Ericsson’s Transport Automation Controller aims to revolutionize this landscape by simplifying transport network complexity, enhancing operational and energy efficiency, and optimizing performance.

Key Features of Ericsson Transport Automation Controller:

1. Real-time Network Observability and Data Analysis: The system offers a single pane of glass for transport network observability through an intuitive web-based user interface with interactive maps and configurable dashboards.
2. AI/ML Predictive Analytics: By employing advanced analytics based on real-time network monitoring, the Transport Automation Controller identifies network problems and prevents potential disruptions before they impact users.
3. Intelligent Automation for Intent-Driven Problem Resolution: The solution ensures the smooth and efficient operation of transport networks by implementing intelligent automation for intent-driven problem resolution and resource optimization.

Jari Augustin, Head of Product Line Transport Automation at Ericsson, emphasizes the product’s significance: “Ericsson Transport Automation Controller is our latest cloud-native AI software that allows our customers to see, understand, and automate their microwave, IP, and optical networks easily and cost-efficiently.”

The Transport Automation Controller represents a culmination of nearly 50 years of experience in microwave technology, coupled with over a decade of extensive research in artificial intelligence and machine learning for transport networks.

Grant Lenahan, Partner and Principal Analyst at Appledore Research, acknowledges Ericsson’s expertise, stating, “The combination of automatic configuration, pathfinding, and other advanced functionality, along with AIOps (Artificial Intelligence for IT Operations), help drive intelligent transport automation for consumer and enterprise use cases.”

The product’s key characteristics include AI-driven intelligence and insights, user-friendly analytics and automation interfaces, flexibility and scalability for various network sizes, and a commitment to standardization and openness.

Ericsson’s Transport Automation Controller sets the stage for a self-optimizing and self-healing transport network, marking a significant stride toward the future of telecommunications.

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