By 2026, Artificial Intelligence has moved from experimentation to expectation. Organizations no longer ask whether to use AI in IT implementation, but why their AI-enabled initiatives still struggle to deliver predictable outcomes. While AI offers significant potential in software delivery, operations, architecture, and decision-making, its...
IT
AI-assisted "vibe coding" tools promise unmatched speed: instant scaffolding, rapid prototyping, simplified integration, and accelerated delivery cycles. But as organizations increasingly shift design and development work toward AI-generated code, they also introduce new security, compliance, and operational risks that must be managed...
In many large organizations—especially in telecommunications and enterprise IT—delivery teams often find themselves caught between two worlds. On one side, legacy projects and governance frameworks still operate under Waterfall principles, where milestones, documentation, and compliance drive progress. On the other side, Agile delivery teams work...
Telecommunication operators stand at the crossroads of two worlds: vast legacy back-end infrastructures that have powered services reliably for decades, and the new digital ecosystem demanding agility, openness, and intelligence. The challenge is clear — how to evolve complex OSS/BSS, CRM, and network management systems into flexible, data-driven...
The way we build software is changing fast. In 2025, one of the most talked-about trends is vibe coding — a style of development where you describe what you want in natural language, and AI generates the code for you.
The sixth generation of mobile networks (6G), expected to emerge commercially around 2030, promises to transform global connectivity by delivering data rates up to 1 Tbps, ultra-low latency below 100 microseconds, and seamless integration of physical, digital, and biological systems. However, achieving this vision depends on more than just advances...
The Impact of AI on Data Analytics
In today's data-driven economy, artificial intelligence (AI) has emerged as a transformative force across all industries. One of the most profound impacts has been in the realm of data analytics. From automating routine processes to uncovering hidden patterns, AI is not just enhancing how organizations analyze data—it's redefining what's possible.
At the Mobile World Congress (MWC) 2025 in Barcelona, several innovative IT applications were unveiled, reflecting the rapid evolution of the telecommunications and technology sectors. Notable presentations included:
The IT industry in 2025 is facing unprecedented challenges driven by rapid technological advancements, increasing cyber threats, evolving regulatory requirements, and a growing demand for sustainability. Organizations must adapt quickly to stay competitive while ensuring security, compliance, and efficiency. Below are some of the most pressing IT...
Data Analytics Tools: Key Capabilities and Best Solutions