How do you see Machine Learning and cloud technologies can drive Nokia to scale new heights ?

Hello Siva!

Glad you asked. AI opens a lot of benefits especially with the evolution of 5G. We are dependent on AI for more continuous and real time processing to deliver more intelligent products and networks.

Just one example is using machine learning for traffic prediction in Radio Access Networks as well as radio resource management.

More information about Nokia's dive in AI can be found in an article "AI at the edge of innovation" in Nokia's blog site: https://www.nokia.com/blog/. You can even see more articles related to AI and machine learning in this site if you're interested to know more initiatives taken by our company.

And if you are interested in looking for specific career opportunities in Nokia, you can view the site: https://careers.nokia.com/ and hopefully you can find one suitable for you.

Hope I was able to help you!

Yes, 5G is coming, NOKIA could offer amazing user experience of 5G service, for example cloud VR service is enabled by combining the power of 5G, Edge Computing, deep learning AI /ML etc. 5G brings big change for the world.

Thanks Lucy, agree 5G will bring & Nokia must be preparing grounds for the same.

These topics will shape the future of all companies and Nokia of course wants to be ready for that future. Nokia’s learning organization has a wide range of internally and externally developed content on these topics. So if you are just getting started on your AI/ML learning journey or you are more advanced and want to apply the science of Data Science, Nokia has a learning offer for you.

Hi Alsten, There are a variety of new technologies that we are using for innovation at Nokia. It's hard to call out 3-4 technologies as there are multiple & every technology is equally important to us. You would get a good view if you take a look at open roles on our career page & go through the tech stack. It will give you a good impression of the technologies used by Nokia. My experience has been 9 out of 10 in Nokia so far :).

hi Alsten, let me invite some more colleagues Insiders to share their perspectives on this topic too. At Nokia, we love tech :) so I'm sure Lucy F. Dharmendra S. Kamil M. Steve T. Talita T. Ricardo B. would be happy to join the conversation.

Thanks for this excellent question. As we know Nokia is a world leading technology company and we are very proud of it. Generally, I am not differentiating between product and services here (as every product would have associated services like Implementation, maintenance ) . We largely sell to Communication service providers and Enterprise customers. Our strong portfolio includes 5G (e.g. Radio, Core, Transport, software), Network management, Private Wireless, Security, Charging, Software as a service, Network Infrastructure (Fixed Networks, Optical, Routers). Depending upon your skills and technical strengths, welcome to join Nokia. Happy to explain further if necessary. My 20+ years with Nokia explains my experience with this amazing company.

Great question, as you may be aware Nokia is a technology leader in Cloud and we have multiple cloud solutions across the Nokia portfolio. Similarly, automation and machine learning play a critical role to make it further advanced. Let me share a few examples.
Our complete cloud-native architecture incorporates containers in a microservices architecture, with DevOps automation and open APIs which can be deployed according to customer needs on any Bare Metal, public, edge, or private clouds. Nokia 5G Core’s cloud-native architecture can be deployed on public cloud and hybrid cloud. Our cloud-native architecture is deployed on Nokia Container Services, RedHat OpenShift, and VMware Tanzu, plus Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.
5G Cloud RAN (Virtualized Radio Access Network vRAN) helps physical industries embrace the benefits of digitalization. Cloud RAN introduces an architectural evolution to Radio Access Networks. Moving the Broadband networks to SDN (software-defined access networks) and cloud is another example that helps to solve multi-technology, multi-vendor issues as well as boost competitiveness with new levels of operational efficiency and agility.
The convergence of analytics, AI, automation, public cloud, and software-as-a-service can turn network data into a powerful business enabler – driving improved performance, greater productivity, and a superior customer experience. The Nokia AVA Telco AI Ecosystem provides artificial intelligence solutions that can be delivered through the cloud (private or public). The solutions enable telcos to automate network operations and service assurance, cut costs, increase agility and boost subscriber experience.
Some other examples of Automation include Edge Automation (Simplifying edge infrastructure management by automating hardware and virtual infrastructure), Automated network slicing, and managing 5G operations through Machine learning. Hope the above examples demonstrate how Machine Learning and Cloud technologies are driving Nokia to scale new heights.

Indeed, well before chatGPT became viral, the topic of ML/MI/AI (Machine Learning/Machine or Artificial Intelligence) was already researched and developed. The following Nokia resources and blog posts are quite informative about how it could benefit not only the Nokia employees but the industry as a whole while ensuring responsible &acceptable uses and putting humans first: https://www.nokia.com/technology-strategy/artificial-intelligence-ai/#enterprises
Depending on their work and their knowledge level, Nokia employees have a whole set of learning, guidelines, resources, practical tools, and a growing community supporting them.