Transitioning legacy telecom infrastructure through a phased cloud-native approach

Fri, 03 Jul 2026 10:28:38 +0300

The modern telecom market demands unprecedented flexibility, rapid service deployment, and robust security from operators. However, the growth of most players remains constrained by outdated, monolithic BSS/OSS (Business/Operations Support Systems). Transitioning to full-scale 5G networks is impossible without a fundamental shift in approach: operators must transform rigid infrastructure into a scalable, cloud-native environment.

The primary challenge is that the telecom core cannot be shut down for a simultaneous update. Modernization must occur without interrupting critical business processes. The only viable scenario is a phased transition through the creation of integration layers and the gradual replacement of legacy components with microservices.

Customer service and contact center operations within the telecom sector

Tue, 30 Jun 2026 16:36:36 +0300

Global losses from telecom fraud are projected to reach $41.82 billion in 2025, up from $38.95 billion in 2023 (according to the CFCA Global Fraud Loss Survey 2025). This trend is forcing telecom operators and large enterprise companies to radically rethink their service channel security. Traditional contact centers, which have relied on closed, monolithic BSS/OSS systems for years, face a difficult choice. Businesses demand efficiency and the immediate implementation of AI agents, intelligent voice assistants, and seamless omnichannel experiences. However, attempts to implement these tools often encounter critical vulnerabilities in VoIP traffic.

SD-WAN and SASE: Secure Access to Cloud Services

Wed, 24 Jun 2026 13:50:00 +0300

In 2026, Ukrainian business IT infrastructure faces a dual challenge: ensuring operational continuity amidst energy instability and meeting stringent European cybersecurity standards. Traditional network perimeters based on the "secure office" concept are obsolete. Today’s landscape is a distributed network where employees, cloud services, and AI agents exchange data constantly, requiring security to be integrated directly into network traffic rather than layered on top.

Transitioning to SD-WAN and SASE models is a critical necessity for companies integrating into the European economic space. Combining network optimization with security in a cloud-native architecture minimizes latency for business-critical applications and ensures compliance with NIS2 and DORA, where access control and traffic monitoring are foundational pillars.

Telecom AI voicebots: balancing operational efficiency with user trust

Mon, 08 Jun 2026 06:07:47 +0300

In the telecommunications industry, the implementation of AI voicebots in contact centers has become essential for optimizing operational processes. The growth in 5G subscriptions and network expansion, as projected by the Ericsson Mobility Report November 2025, presents new opportunities for integrating AI solutions. Simultaneously, increasing global losses from telecom fraud, estimated by the CFCA Global Fraud Loss Survey 2025 at approximately $41.82 billion, highlights the need for enhanced security and authentication measures. This creates an architectural challenge where AI voicebots can boost efficiency, but their deployment demands a careful balance between automation and maintaining customer trust.

Evolution of contact center AI: from chatbots to voice-based assistants

Wed, 03 Jun 2026 09:28:30 +0300

Modern customer service is undergoing a fundamental transformation. What began as simple scripted chatbots capable of answering only basic questions has evolved into sophisticated artificial intelligence systems. Today’s AI assistants and Voice AI technologies are redefining customer support by delivering a new level of personalization, responsiveness, and operational efficiency.

A Shift in Architectural Paradigm

The implementation of modern artificial intelligence in contact centers is far more than automating individual processes. It represents a fundamental shift in architectural design. Modern AI solutions are deeply integrated into corporate information systems, CRM platforms, billing modules, and knowledge bases, becoming an essential part of business operations rather than a standalone add-on for a website or mobile application.

The 2026 landscape for AI-augmented FinOps and multi-cloud cost control

Fri, 22 May 2026 06:07:28 +0300

By 2026, over 80% of large enterprises utilizing multi-cloud infrastructures will integrate artificial intelligence into their FinOps strategies to optimize costs and enhance efficiency. This shift is driven by the increasing complexity of cloud environments, dynamic provider pricing models, and the necessity for automated analysis of vast amounts of resource consumption data.

Evolution of FinOps in multi-cloud environments

Traditional FinOps approaches, based on manual report analysis and static rules, are becoming ineffective in multi-cloud settings. The complexity lies not only in managing different pricing models across Azure, AWS, and GCP but also in tracking and forecasting costs for dynamic resources such as serverless functions, containers, and specialized AI/ML services. Companies face challenges with insufficient cost visibility, suboptimal resource utilization, and difficulties in allocating budgets across various business units.

Trends in AI and VoIP business communications for 2026

Mon, 20 Apr 2026 06:05:51 +0300

Traditional analog PBX systems increasingly fail to meet modern business requirements for scalability, flexibility, and integration with corporate applications. Their maintenance is costly, while their functionality is often limited. VoIP (Voice over Internet Protocol) fundamentally transforms business communications by converting voice calls into digital data transmitted over IP networks. This approach delivers a range of benefits that have become essential for modern organizations.

Cost reduction: lower international and long-distance calling expenses through the use of existing internet infrastructure.
Scalability: rapid addition or removal of users and expansion of functionality without significant capital investments.
Flexibility and mobility: access to corporate telephony from anywhere via IP phones, softphones, or mobile applications.
Integration: seamless connectivity with CRM, ERP, document management systems, and other business applications through APIs.

AI in Communications: A New Level of Interaction

Artificial Intelligence (AI) is transforming business communications far beyond traditional automation. Modern AI solutions can analyze large volumes of data, understand natural language, predict customer behavior, and personalize interactions. This not only improves operational efficiency but also enhances customer experience.

Ensuring AI Act compliance for telecom communication systems

Wed, 18 Mar 2026 09:03:45 +0200

In 2026, telecom operators face a dual challenge: the rapid development of AI communications and the need to adapt to new regulatory requirements, particularly the European AI Act. The urgency of this year is driven by the active implementation of the Act's provisions, which establish strict requirements for the transparency, security, and reliability of artificial intelligence systems. This demands that operators not only achieve technical readiness but also rethink their approaches to data management and cybersecurity. Ensuring compliance with the AI Act in 2026–2027 is becoming mandatory to avoid fines and preserve customer trust.

The AI Act and communication evolution: VoIP and contact center implications

Mon, 02 Mar 2026 14:46:23 +0200

National telecom operators face a challenge: the data required to launch AI projects turns out to be fragmented, inconsistent, incomplete, and lacks unified directories. Attempting to train AI models on such data yields poor results, making it impossible to implement intelligent systems to improve customer service efficiency or optimize the network.

Reason: Architectural Chaos and Lack of Data Governance

This problem arises from the historically formed OSS/BSS ecosystem, which for large telecom operators can consist of 15–25 systems of different generations. Each system (CRM, billing, network management systems, customer support systems) was created to solve its own narrow task, often without considering the need for a unified customer profile or shared directories. As a result, the exact same customer might have multiple records with different addresses, contact details, or even names, while data about services and tariffs are stored in disparate billing systems. This leads to a situation where the Customer 360 concept (a unified, comprehensive view of the customer) does not work, and the time-to-market for new tariff plans is limited by the need for manual data reconciliation between legacy systems.

2026 IT industry outlook: The move to integrated digital ecosystems

Fri, 06 Feb 2026 16:39:41 +0200

The global IT industry is entering a new phase where the key competitive advantage is no longer individual technologies, but the ability to integrate them into a unified, manageable ecosystem. In March–April 2026, this trend has fully solidified: businesses are moving from isolated digitalization efforts to comprehensive transformation of processes, infrastructure, and data management.

The main driver behind this shift is the convergence of artificial intelligence, hybrid infrastructure, and platform-based solutions. While these areas were previously implemented separately, today organizations expect a cohesive environment that ensures continuity, scalability, and full operational control.

Private 5G for Industry: Use Cases in Ukraine

Mon, 26 Jan 2026 13:33:57 +0200

The Evolution of Industrial Connectivity Under Martial Law

By 2026, the concept of "critical infrastructure" for Ukrainian businesses has expanded to encompass every individual production site. Amidst persistent threats to the energy grid and the necessity of aligning with EU standards like NIS2 and DORA, reliable data transmission has become the bedrock of survival. Private 5G networks have evolved from futuristic concepts into essential tools for building autonomous, secure, and high-performance ecosystems capable of ensuring business continuity in an unstable environment.

AI Analytics in Contact Centers: Optimizing VoIP Traffic

Fri, 09 Jan 2026 15:33:14 +0200

By 2026, the contact center has evolved from a simple call-handling point into an intelligent hub generating data for strategic decision-making. Amidst wartime conditions and energy turbulence, stable VoIP infrastructure has become the bedrock of business continuity. Simultaneously, the integration of generative AI and AI agents requires not only high voice quality but also deep, real-time analysis of interaction context. For CIOs and CTOs, the current challenge lies in the synergy between network resilience and AI cognitive capabilities, enabling both traffic optimization and radical service efficiency improvements.

SD-WAN and Starlink: Enterprise Connectivity Reliability in 2026

Fri, 02 Jan 2026 16:39:44 +0200

By 2026, the corporate network in Ukraine has evolved from a simple data transmission tool into a foundation for business survival. Amidst prolonged martial law and energy instability, traditional WAN approaches have become insufficient. For CIOs and CTOs, it is critical to ensure not just speed, but guaranteed service availability for operations involving QES (Qualified Electronic Signature), Diia.Signature (a Ukrainian digital identity and signing service), and cloud AI agents, regardless of ISP performance or local blackouts. The combination of SD-WAN technology and low-Earth orbit satellite systems like Starlink has become the industry standard for building resilient hybrid networks.

Modernizing Telecom Legacy Infrastructure with AI

Tue, 07 Apr 2020 14:52:04 +0300

Dell states in its paper that during the last 10 years, a rough amount of all applications used by Fortune 5000 companies “run in legacy environments built 20, 30, even 40 years ago.” Also, Dell claims that “a typical corporation spends between 60 and 80 percent of its IT budget simply to maintain existing mainframe systems and applications.”

Why the Telco Industry?

As we discussed in our previous article, the telecommunication industry is experiencing economic and high pressure from constantly growing market demands. With millions of subscribers and a growing number of telco products, today’s communication service providers (CSPs) must manage their business more efficiently than ever before, constantly optimizing services, networks, and products. Many CSPs continue to use systems and applications that are often too complex and inefficient for their business needs. What are the legacy systems?

Telecom — TechCom