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    Home » Nokia introduces AI-ready optical solutions
    Nokia-WaveSuite-optical-network-enhancements
    Nokia-WaveSuite-optical-network-enhancements
    AI

    Nokia introduces AI-ready optical solutions

    By Kayla ZhangMarch 27, 2025No Comments2 Mins Read
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    • Nokia enhances WaveSuite platform for improved optical network automation.
    • New features aim to reduce operational costs and increase network reliability.

    What happened: Advancements in optical network automation

    Nokia has announced significant enhancements to its WaveSuite optical network automation platform, aiming to meet the increasing demands for bandwidth, reliability, and minimal latency in the artificial intelligence (AI) era. These updates provide network operators with improved insights and control over their optical networks through a suite of applications targeting specific use cases.

    The enhancements focus on optimising network performance, scaling capacity, and monetising assets. Key improvements include better integration with Business Support Systems (BSS) for streamlined billing and service fulfilment, incorporation of machine learning for proactive network health monitoring, and combined network planning with provisioning to reduce the effort required to scale network capacity by 33%.

    Also read: Connecting the future: Optical Communication Engineering
    Also read: Neuraspace boosts tracking precision with new optical telescope

    Why it is important

    These enhancements are significant for the telecommunications industry as they address the increasing complexity of optical networks and the need for automation to manage resources efficiently. By reducing manual processes and associated human errors, these improvements can lead to faster service deployment and operational cost savings. The integration with BSS systems allows for more streamlined billing and service fulfilment processes, enabling operators to offer new, differentiated services to their customers.

    Additionally, the incorporation of machine learning for network health monitoring provides a proactive approach to maintenance, potentially reducing downtime and improving adherence to service level agreements. Furthermore, the enhanced planning and provisioning capabilities can accelerate network expansion efforts, which is crucial in meeting the growing demand for bandwidth and low-latency services in the AI era.

    AI Nokia optical networks telecommunications
    Kayla Zhang

    Kayla is a community engagement specialist at BTW Media, having studied English language studies at University of Malaya. Contact her at K.Zhang@btw.media.

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