Nokia Brings First 5G Standalone Network to Uzbekistan

Nokia has won a pivotal contract to set up Uzbekistan’s first 5G standalone (SA) network. This venture is not just a first for the country but a groundbreaking development for Central Asia. The Finnish telecommunications giant will kickstart this project in Tashkent, Uzbekistan’s capital, targeting a commercial launch by late 2024. This ambitious initiative will see the network roll out nationwide within the subsequent two years. This essentially means that the most advanced 5G services will soon become a reality for millions of Uzbek citizens, propelling the nation into a new era of digital connectivity.

The network will encompass a comprehensive Nokia solution, ranging from radio access and transport to core networks and network automation. Additionally, built upon the Red Hat OpenShift platform, Nokia’s offering will be deeply integrated with its cloud infrastructure. This approach promises a highly flexible and scalable 5G environment, setting the stage for innovative applications and services.

Driving Uzbekistan’s Digital Future

Uzbekistan is embarking on an ambitious digital transformation, with the introduction of a 5G network being a cornerstone of this progression. This advanced connectivity is expected to revolutionize several sectors, including healthcare through telemedicine, urban management with smart city technology, and the economy by enabling more flexible work arrangements.

Nokia, a leader in telecommunications, is tasked with setting up and maintaining this network, a move welcomed by Perfectum’s CEO who trusts in Nokia’s capability to deliver and support the project. This collaboration is seen as pivotal for enhancing telecom services and overall digital experiences in Uzbekistan. The country’s leap toward a digital future is thus significantly bolstered by its partnership with Nokia, ushering in a new era of technological advancement and economic growth.

Explore more

Agentic AI Is Revolutionizing the Future of ERP Systems

The integration of autonomous agents into the ERP environment allows for proactive business management through the use of real-time predictive insights. This transition represents a fundamental shift in how global enterprises perceive their digital backbone. For years, the monolithic model of Enterprise Resource Planning dominated the corporate landscape, promising a single source of truth but often delivering a rigid structure

Ethereum Advances Security, Scaling, and Institutional Ties

Researchers are exploring how artificial intelligence might serve as a double-edged sword, capable of both identifying protocol vulnerabilities and automating sophisticated malicious exploits. As the ecosystem matures in 2026, the Ethereum network is navigating a complex landscape defined by high-stakes technical upgrades and a stabilizing market position. While price corrections remain a reality, the foundational work currently being conducted focuses

RemoveMacAI Utility Disables Apple Intelligence on macOS 27

Recent updates to the macOS architecture have made it increasingly difficult to avoid AI integration, prompting the development of scripts that block ChatGPT and Image Playground. The release of macOS 27 Golden Gate signaled a shift in Apple’s stance on user autonomy. While earlier versions allowed users to toggle off AI features in System Settings, the current iteration embeds these

10 Effective Ways to Use AI for Email Marketing and Inboxes

The transformative power of machine learning in the digital workspace has evolved to a point where a professional’s ability to communicate effectively hinges on the precision of their algorithmic orchestration. The integration of artificial intelligence into email workflows has fundamentally changed how brands communicate with customers and how individuals manage their daily correspondence. By leveraging current best practices, users can

How Does Modern Infrastructure Drive AI Readiness?

Strategic hardware investments provide the necessary headroom for organizations to meet today’s workloads while building a framework for future AI-driven opportunities. As digital ecosystems evolve into more complex, data-reliant networks, the traditional approach of maintaining legacy systems has become a liability rather than an asset. The 2026 technological climate demands that data centers function as dynamic engines of innovation instead