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 Redefines the Software Development Lifecycle

The quiet hum of servers executing tasks once performed by entire teams of developers now underpins the modern software engineering landscape, signaling a fundamental and irreversible shift in how digital products are conceived and built. The emergence of Agentic AI Workflows represents a significant advancement in the software development sector, moving far beyond the simple code-completion tools of the past.

Is AI Creating a Hidden DevOps Crisis?

The sophisticated artificial intelligence that powers real-time recommendations and autonomous systems is placing an unprecedented strain on the very DevOps foundations built to support it, revealing a silent but escalating crisis. As organizations race to deploy increasingly complex AI and machine learning models, they are discovering that the conventional, component-focused practices that served them well in the past are fundamentally

Agentic AI in Banking – Review

The vast majority of a bank’s operational costs are hidden within complex, multi-step workflows that have long resisted traditional automation efforts, a challenge now being met by a new generation of intelligent systems. Agentic and multiagent Artificial Intelligence represent a significant advancement in the banking sector, poised to fundamentally reshape operations. This review will explore the evolution of this technology,

Cooling Job Market Requires a New Talent Strategy

The once-frenzied rhythm of the American job market has slowed to a quiet, steady hum, signaling a profound and lasting transformation that demands an entirely new approach to organizational leadership and talent management. For human resources leaders accustomed to the high-stakes war for talent, the current landscape presents a different, more subtle challenge. The cooldown is not a momentary pause

What If You Hired for Potential, Not Pedigree?

In an increasingly dynamic business landscape, the long-standing practice of using traditional credentials like university degrees and linear career histories as primary hiring benchmarks is proving to be a fundamentally flawed predictor of job success. A more powerful and predictive model is rapidly gaining momentum, one that shifts the focus from a candidate’s past pedigree to their present capabilities and