Private Network Check Readiness - TeckNexus Solutions

Orange Enhances Network Operations with Augtera’s AI Platform

Orange has effectively harnessed Augteraโ€™s Network AI to enhance its network operations, reflecting a strategic embrace of AI to boost efficiency and optimize customer service.
Orange Enhances Network Operations with Augtera's AI Platform

Incorporating AI into Network Management

Orange has successfully integrated Augtera’s Network AI platform into its Network Operating Center (NOC) tools, marking a significant advancement in network management technology. This strategic move comes after a comprehensive two-year production trial which highlighted the potential of Artificial Intelligence/Machine Learning (AI/ML) in transforming network operations.

Major Reduction in Network Alarms


The introduction of Augteraโ€™s AI-driven platform is set to revolutionize the daily operations at Orange’s NOC by reducing the number of alarms by 70%. This reduction is achieved through Augteraโ€™s advanced auto-correlation features, which are informed by an in-depth understanding of network topology.

Proactive Prevention of Network Failures

Augtera’s Anomaly Detection technology plays a crucial role in enhancing service quality by identifying potential incidents before they occur. This proactive approach prevents downtime and significantly improves the overall customer experience.

Scheduled Rollout Across Global Networks

Starting in April, Orange plans to implement this technology across its Global Networks, which encompass a Tier One IP network service operating across 100 countries with approximately 800 Points of Presence. The full integration is expected to be completed by the end of 2024.

Insights from a Prolonged Trial Phase

The trial phase involved extensive testing across multiple networks, including the French Backbone and Orangeโ€™s SD-WAN Network. This period allowed for the evaluation of Augteraโ€™s technical capabilities and the assessment of the business value of AI/ML across various use cases.

Enhanced Operational Efficiency and Customer Experience

The successful reduction of alarms by 70% allows network operations experts at Orange to concentrate more on significant incidents, enhancing their ability to act proactively. This streamlines operations and helps identify network issues before they impact customers, thus elevating the customer service experience.

Integration with Orange Private Cloud

Augteraโ€™s platform is seamlessly integrated with the Orange International Networks within the Orange Private Cloud. This integration enables the capture and analysis of network topology and various network-related data. Augtera uses this data to build sophisticated machine learning models on-premises, which include unsupervised and online learning models for anomaly detection and auto-correlation.

Commitment to AI Innovation

Jean-Louis Le Roux, Executive Vice President International Networks at Orange, expressed satisfaction with the trial outcomes and confirmed Orange’s commitment to integrating AI technologies within its operations. He highlighted the move as a key part of Orangeโ€™s strategy to adopt cutting-edge technology to enhance operational efficiency and predictability.

Augtera’s Industry Leadership

Rahul Aggarwal, Founder & CEO at Augtera Networks, noted the significance of their collaboration with Orange, emphasizing the strength of Augtera’s AI algorithms and their ability to deliver substantial business benefits to network operators. This integration not only demonstrates the capabilities of Augtera’s platform but also reaffirms Orangeโ€™s position as a pioneer in adopting AI/ML for network operations.

 

Enhancing Network Management with AI and Google Cloud Collaboration

Orange’s recent integration of Augtera’s AI platform into its network operations is complemented by a broader strategic initiative involving Google Cloud, as announced earlier. This expanded collaboration focuses on deploying artificial intelligence and gen AI technologies closer to operations and customers across multiple countries and industries. The enhanced partnership will leverage Google Distributed Cloud (GDC) to address local cloud requirements and accelerate AI adoption, fostering an open, value-driven approach.

The use of GDC allows Orange to run sensitive network data and AI workloads on-premise, which is essential in regions with strict regulatory requirements. This will likely support Orange’s network planning and root cause analysis by automating reporting, classification, and analysis tasks. Moreover, Orange aims to enhance operational efficiency and customer experience by utilizing gen AI models in various on-premise environments, integrated with similar Vertex AI services on Google Cloud.

This initiative highlights a deepening of Orangeโ€™s commitment to AI, which is seen as pivotal to enhancing network reliability and customer interactions. The integration of these technologies is expected to provide Orange with advanced capabilities for managing high-volume data, such as over one petabyte a day of network telemetry, directly within its own data centers. This approach not only meets local regulatory standards but also boosts performance and reduces latency for critical operations.

Overall, this collaboration with Google Cloud underscores Orangeโ€™s strategic focus on AI to drive value creation across its services, promising a significant impact on network management and customer satisfaction as these technologies are rolled out globally.


Recent Content

OpenAI has raised $8.3 billion in a highly oversubscribed round led by Dragoneer Investment Group, bringing its valuation to $300 billion. The funding will accelerate OpenAIโ€™s expansion into global AI infrastructure, monetization of ChatGPT, and broader enterprise deployment. With over 700M weekly users and $12โ€“13B in annualized revenue, OpenAI is now one of the most capitalized AI firms worldwide, and possibly on the path to an IPO.
Imagine a world turned upside down: what if the very beings we create, the robots, were suddenly tasked with evaluating us? This article plunges into that thought-provoking scenario, exploring the mind of a machine tasked with assessing the strange, often frustrating, and ultimately fascinating species known as “human.” Robots, built for efficiency and logic, grapple with our inherent flaws: our maddening unpredictability, the need for constant social interaction, the messy complexities of creativity, the relentless maintenance required, and, perhaps most perplexing of all, the “empathy bug.” Ultimately, the robots are left with a fundamental question: why do we, the humans, even bother to exist? Are we, in the robots’ eyes, a worthwhile investment? Or is the true ROI of humanity something far more profound, something that only the human heart can truly grasp?
Amphenol is acquiring CommScopeโ€™s broadband and fiber connectivity business in a $10.5 billion all-cash deal, its largest acquisition to date. This move boosts Amphenolโ€™s presence in network infrastructure, expanding its portfolio of fiber, copper, and wireless solutions. The acquisition comes as global demand rises for high-speed, low-latency networks supporting AI, 5G, IoT, and smart city deployments.
Indiaโ€™s first Private 5G Captive Non-Public Network (CNPN) is now operational at Numaligarh Refinery in Assam, thanks to BSNL and NRL. This private 5G network supports real-time IoT, AI-driven analytics, and AR/VR-based workforce training, setting a new benchmark in refinery automation and cybersecurity. A major step for Digital Assam and the Atmanirbhar Bharat mission.
Ooredoo Maldives has launched the nation’s first private 5G island at Waldorf Astoria Maldives Ithaafushi by deploying a dedicated submarine cable. This infrastructure milestone provides high-speed, low-latency connectivity, enabling AI-powered guest services, immersive AR/VR experiences, and seamless digital hospitality. It sets a benchmark for smart tourism in the Maldives and redefines digital luxury for remote island resorts.
Private Network Security Series ranks the top 22 vendors that secure private 5G, LTE, and CBRS networks. See how each maps to the 4 Pillars: core controls, device visibility, threat detection, and SIM orchestration, so you can design a secure, enterprise-grade network without gaps.
Whitepaper
Telecom networks are facing unprecedented complexity with 5G, IoT, and cloud services. Traditional service assurance methods are becoming obsolete, making AI-driven, real-time analytics essential for competitive advantage. This independent industry whitepaper explores how DPUs, GPUs, and Generative AI (GenAI) are enabling predictive automation, reducing operational costs, and improving service quality....
Whitepaper
Explore the collaboration between Purdue Research Foundation, Purdue University, Ericsson, and Saab at the Aviation Innovation Hub. Discover how private 5G networks, real-time analytics, and sustainable innovations are shaping the "Airport of the Future" for a smarter, safer, and greener aviation industry....
Article & Insights
This article explores the deployment of 5G NR Transparent Non-Terrestrial Networks (NTNs), detailing the architecture's advantages and challenges. It highlights how this "bent-pipe" NTN approach integrates ground-based gNodeB components with NGSO satellite constellations to expand global connectivity. Key challenges like moving beam management, interference mitigation, and latency are discussed, underscoring...

Download Magazine

With Subscription

Subscribe To Our Newsletter

Private Network Awards 2025 - TeckNexus
Scroll to Top

Private Network Awards

Recognizing excellence in 5G, LTE, CBRS, and connected industries. Nominate your project and gain industry-wide recognition.
Early Bird Deadline: Sept 5, 2025 | Final Deadline: Sept 30, 2025