
Is Nokia investing in AI/ML developed projects in realtime?
Additional information
I know many of the companies try to implement AI/ML in their projects but they were confined to their research department most of the time. As a data scientist, I want to know to what extend Nokia is using these technologies in their projects.
Sai Vineeth G. asked a question to Steve T.
Category: About us
Date asked: Thursday, June 11, 2020
Last reviewed: Sunday, December 7, 2025
Steve T.
Data Science & Analytics Specialist
First of all welcome to Nokia! I would start with our Learning Store Data Science offer. You can browse through all the offers but I would highlight that Achievement Center where specific learning paths are identified. Note also that on June 1st we will launch our new offer from Coursera (watch for internal e-mails with directions to request access). Coursera has great content and they have a new offer - "Rhyme" which allow students to world dual screen with SME's to learn and apply data science concepts.
Tuesday, May 12, 2020
Steve T.
Data Science & Analytics Specialist
Sai, my primary focus is AI/ML learning and development, and I can tell you that Nokia is continually investing in our Data Science learning offer. We have strong relationships with leading content vendors and, in addition, we develop content internally.
In our learning initiatives, AI is actively used to design dynamic and personalized courses and learning opportunities. Furthermore, AI-powered tools provide real-time assistance and feedback to students, optimizing skill development and knowledge acquisition.
We also host an annual AI Conference where all organizations share AI/ML success stories. Every organization within Nokia is represented at this conference. Finally, it's no secret, 5G is our future, and AI/ML plays a fundamental role in our 5G solution.
Monday, June 15, 2020
Sandrine H.
Employer Brand Ops and Innovation Lead
@Casey C. @Dharmendra S.Please join the discussion.
Monday, November 24, 2025
Dharmendra S.
Head of Business Group and Shared Services - Global Sales Support
Nokia is an innovation leader, and we are investing heavily in AI driven networks. To ensure full commitment, we even have a Chief Technology and AI Officer at Nokia now.
Please allow me a few examples around our AI journey and progress.
Nokia recently announced a strategic partnership to add NVIDIA-powered, commercial-grade AI-RAN products to Nokia's industry-leading RAN portfolio, enabling communication service providers to launch AI-native 5G-Advanced and 6G networks on NVIDIA platforms. Our product evolution to 6G is based on continued and significant performance gains, enabled by advanced chipsets, for the massive processing needs of radio. We have implemented an anyRAN approach to Open RAN, introducing Advanced 5G solutions that simplify the evolution to 6G while integrating AI into RAN for higher efficiency and increased monetization of mobile networks.
Our data center networking solutions include high-performance switches and optics that ramp up connectivity inside the AI data centers, and IP and optical technologies that interconnect to, from, and between data centers. Nokia’s Event-Driven Automation is a cloud-native platform built to manage multi-vendor networks with confidence. EDA’s integrated GenAI and agentic AI capabilities take data center network operations beyond conversation, into sensing, thinking, and acting.
Nokia is recognized as leader in AI-powered RAN automation by TÉRAL Research for tenth year in a row. After adopting Nokia’s MantaRay portfolio, operators achieved zero-touch, intent-based autonomous network operations, enhanced energy efficiency through AI-driven optimization. Our AI-based Self- Organized Networks (SON) solutions streamline routine operations, delivering faster execution and superior quality than previous tools. With the introduction of Cognitive SON, we have taken a major leap into AI-driven network automation, enabling even greater intelligence and efficiency.
I hope these examples provide you enough information on our significant progress in AI.
Sunday, December 7, 2025
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