Amidst the ever-increasing complexity of modern telecommunications networks, Nokia is taking a groundbreaking step forward. In a recent talk, Jitin Bhandari, CTO of Nokia CNS, outlined a visionary strategy leveraging Generative AI to streamline and enhance network operations. This strategy is not merely a technological shift but a transformation in how networks will operate in the digital age.
The Complexity Conundrum
For decades, the evolution of communication networks has been characterized by increasing complexity, with each new technology layer adding more challenges. The advent of cloud adoption and the rollout of 5G technologies have accelerated these complexities rather than simplifying them. Bhandari explained that as networks grow more intricate, the data generated is vast and underutilized.
Nokia’s Sense-Think-Act Paradigm
To address these challenges, Nokia is adopting a revolutionary “sense, think, act” paradigm powered by Generative AI. This approach is about making networks more innovative and more responsive. “Sensing” involves enhancing network observability to capture detailed data across various subsystems. “Thinking” applies AI and Generative AI models to this data, enabling intelligent decision-making. Finally, “acting” focuses on autonomous operations, allowing the network to implement decisions in a feedback loop, essentially helping the network to self-regulate and adapt continuously.
Integrating Generative AI
Nokia’s strategy involves integrating Generative AI into its AI and analytics solutions, which Bhandari notes will “power autonomous networks that can truly sense, think, and act.” This integration is backed by Nokia’s substantial expertise in telecommunications AI and the innovative prowess of Bell Labs. The goal is to simplify the network operations by making them more intuitive and aligned with business objectives, allowing the network to manage itself in many respects.
Generative AI at Work
Generative AI will allow Nokia to create more conversational network interfaces, transforming complex technical processes into more straightforward, manageable tasks. This involves utilizing large language models and AI frameworks to translate intricate business intents into straightforward network operations. This capability will enhance operational efficiency and open new avenues for customer interaction and service customization.
KOMMENTTI
Nokian CNS-liiketoimintaryhmä on myynnin suhteen selkeästi pienempi kuin NI ja MN, mutta Nokian ohjelmistoyksikkönä se on mielenkiintoisin seurattava kun tarkastellaan Nokian roolia tekoälyn kehittäjänä. CNS:n liikevoittomarginaali on kehittynyt vuoden 2020 -2,2 %:sta 7,9 %:iin vuonna 2023, kun taas vuoden 2024 keskipisteen ohjeistus on 7,5 % ja pitkän aikavälin tavoite on 15%:n paikkeilla (mid-teens), kun taas “ohjelmistot palveluna” -myynnin marginaalitavoite on yli 25 %.
Bell Labs tutkii paljon tekoälyä, mistä seuraavassa muutama esimerkki:
- Nokia Language Model and Generative AI
- Zero-touch tracking of industrial assets in real-time
- Dynamic Digital Twin Enabling real-time monitoring of rapidly changing environments
- Unified Networking Experience: transforming the network into an operating system
- Optimizing Learning for Robotics
