Competitive Edge
Creating COMPETITIVE EDGE for
sustainable future networks
As modern networks evolve towards 5G and the Internet of Things (IoT), managing rapidly increasing data transfer and network capacity demands is essential to deliver low-latency services and scale capacity sustainably.
Edge computing and edge intelligence are critical components of 5G networks, serving as key enablers for future sustainable digital infrastructure. For example, optimizing workloads at the edge can significantly reduce energy consumption associated with data transport.
This program was completed in 2024.
Mission
Sustainability and competitiveness
Leverage edge and cloud computing to enhance energy efficiency, security, and privacy, empower telecom providers with flexible and reliable networks, and create new opportunities for innovative edge applications.
Network scalability and operability
Enable distributed, automated, and cloud-native edge computing that delivers secure, sustainable, and energy-efficient digital services with low latency across diverse locations.
Solution focus
Foster global collaboration among telecommunication providers, AI and cloud providers and technology leaders to deliver sustainable, automated edge solutions, positioning Finland as a hub for transformative digital infrastructure and multi-billion-dollar business growth.
Roadmap
Together with a broad ecosystem of partners, Nokia drove significant R&D investment in Finland, supporting the government’s goal of raising R&D spending to four percent of GDP.
Finland’s expertise in ICT, sustainability, energy efficiency, and digital solutions provided a strong foundation, and Nokia built a robust edge computing ecosystem that fueled global growth for companies while increasing investments in Finland.
Edge intelligence (El) and orchestration
- Advancing El and orchestration capabilities in future networks
- Researching Al support through edge computing (Edge for Al)
- Exploring how Al can enhance the creation and operations of the edge itself (Al for Edge)
Future multimedia in MEC
- Developing multimedia solutions in Multi-access edge cloud (MEC) environments
- Optimizing multimedia sensors in real-time, multimedia-enabled processes
- Enabling real-time multisensory analytics for industry, simulation, training, and XR
Environmental and climate sensing
- Technology enablers for local weather, climate, and environmental monitoring
- Supporting future networks with innovative sensing capabilities
Value creation across verticals
- Leveraging edge computing for sustainable operations in smart cities, healthcare, and logistics
- Driving value creation across multiple vertical use cases
Data management and marketplaces
- Enabling edge-based data management and digital solutions
- Facilitating data marketplaces and value extraction for public and private sectors
- Supporting sustainable network operations
Sustainable data centers
- Implementing edge computing enablers for energy-efficient data center performance
- Promoting sustainable operations in data center environments
Autonomous systems and manufacturing
- Enhancing edge computing capabilities for autonomous systems
- Supporting smart manufacturing processes and intelligent driving solutions
Highlights
Projects
Ecosystem partners
Ecosystem R&D investment increase
Co-innovation projects
XR Simulation and Presence at the Cloud Edge
Objectives
Project has two main objectives: create and develop multi-dimensional analytics of vehicles perating in professional environments (e.g. in heavy, air and maritime transport). Applications of interest include both simulated and real operating environments. The second objective is to connect remote people virtually with photorealistic volumetric video communication system that support real-time holographic interaction between multiple participants (e.g. in remote meetings, maintenance, training and operation).
Partners
Creanex, Finnair, Groke Technologies, Metropolia, Pohjola Insurance, SAAB Finland, Softability Xreach, Taipale Telematics, Tampere University, Varjo & Viaccess-Orca Finland
IoT based Building energy system powering Sustainable Energy Use
Objectives
- Design principles for modular local energy system architecture, technology portfolio and dimensioning.
- Business model for local energy community that is creating optimal value for local generation and flexibility.
- Optimal control of resources based on the forecasting of the generation and loads and flexibility.
- Edge computing, Data-analytics, Machine learning, Artificial intelligence, IoT and related communication solutions, utilization and deployment of 5G technology and edge computing.
Partners
Lappeenranta-Lahti University of Technology LUT, LSK Group Oy & Rossum Oy
Containers as the Quantum Leap in software development
Objectives
The goals of the project include guidelines for using containers* in general as elements of architecture design, outside generic cloud environments. Such systems include containerized AI systems, with GDPR and EU data & AI acts in mind. security properties in inter-container use, regulated use of containers, embedded systems, which require small memory footprint containers, and using containers in hybrid setup (public/hybrid/private clouds).
Partners
Bittium, M-Files, Solita, Vaadin & Jyväskylä University
Driving Twin Transition with edge-enabled research
Objectives
- Strengthening Finnish companies and academia in becoming global leader in edge-enabled research and technology in chosen industry domains.
- Demonstrating efficiency and business potential in applying AI, multimedia, edge computing and 5G in industry.
Partners
Fastems, Glaston, Pemamek, Prima Power, Raute, Vacon, Vaski, Tampere University
Data markets for sustainable cities
Objectives
The DataMust project study a local cell-based edge data marketplace concept for providing a vertically agnostic approach with high horizontal connectivity.
This concept will enable the building of federated service-based solutions that bring all urban actors together to productise, enrich, share, refine, and trade data for maximizing the Sustainable Development Goals impact.
Partners
Loihde, Sitowise, Cozify, Coba, VTT, nollaE, City of Århus, City of Espoo and City of Tampere
Next generation mining and heavy machinery 5G business models and ecosystems
Objectives
The overall aim of the project is to bring forward perspectives on the value-creation logic of 5G technology-enabled innovation ecosystems, with a primary focus on mining and heavy machinery industries.
Partners
Åbo Akademi University (School of Business and Economics), Sandvik, Junttan, Kalmar, Sustainable Industry X (SIX) ecosystem members, Sprott School of Economics at Carleton University, USN School of Business, University of South-Eastern Norway, University of Auckland Business School, Imperial College London
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