Enterprise IT

Türk Telekom and Ericsson have signed a strategic research collaboration to advance 6G innovation in Türkiye. The agreement was formalized at the Mobile World Congress 2026 that was held in Barcelona, with participation from Turkish government officials and Ericsson leadership. The...

AST SpaceMobile has gone ahead and amassed billion dollars in revenue commitments, it has revealed in a week in which it simultaneously went ahead and shared the details of a raft of new operator customers related to the direct-to-cell offer, which...

95% of organizations are increasing cybersecurity budgets in 2026 with AI as the top spending driver despite being the hardest investment to justify Exabeam, a global leader in intelligence and automation that powers security operations, today announced the findings of...

The centralization of computing power in distant cloud hubs is reaching its physical limits as the demand for real-time responsiveness in modern applications continues to soar. By relocating processing and storage to smaller, localized facilities at the network's periphery, organizations can drastically reduce transmission delays, enabling the next generation of industrial automation, immersive entertainment, and autonomous systems.

WBA Publishes Industry First Guidance on Artificial Intelligence and Machine Learning for Intelligent Wi-Fi New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without industry fragmentation The Wireless Broadband Alliance (WBA), a global industry...

The rapid ascent of artificial intelligence as the primary driver of corporate value is placing unprecedented demands on traditional data center and computing models. To thrive in the AI-centric economy, organizations must modernize their IT foundations, moving toward high-performance computing architectures and scalable cloud platforms that can handle the massive data volumes and intense processing requirements of modern machine learning workloads.

The shift toward intelligent autonomous systems is fundamentally altering the mechanical and logistical foundations of global manufacturing. By integrating advanced cognitive computing into physical production lines, businesses are moving away from rigid, pre-programmed automation toward a flexible, learning-based model that optimizes efficiency, predicts failures, and adapts to market shifts in real-time.