U.S. fixed wireless access (FWA) is on the rise, with over 11.5 million subscribers across T-Mobile, Verizon, and AT&T. Ookla Speedtest data reveals rising download speeds, with T-Mobile leading at 205 Mbps. Verizon manages performance via speed caps, while AT&T positions FWA as a transitional service. Latency and upload improvements further boost FWA’s appeal in 2024.
Looking to learn AI in 2025 without breaking the bank? This blog breaks down the best free AI courses and certifications from top platforms like Google, IBM, and Harvard. Whether you’re a beginner, teacher, or tech professional, you’ll find career-relevant learning paths, direct course links, and tips to get certified and start building AI projects today.
Explore the transformative potential of Open Radio Access Networks (O-RAN) as it integrates AI, enhances security, and fosters interoperability to reshape mobile network infrastructure. In this article, we explore the advancements and challenges of O-RAN, revealing how it sets the stage for future mobile communications with smarter, more secure, and highly adaptable network solutions. Dive into the strategic implications for the telecommunications industry and learn why O-RAN is critical for the next generation of digital connectivity.
Nvidia’s Open Power AI Consortium is pioneering the integration of AI in energy management, collaborating with industry giants to enhance grid efficiency and sustainability. This initiative not only caters to the rising demands of data centers but also promotes the use of renewable energy, illustrating a significant shift towards environmentally sustainable practices. Discover how this synergy between technology and energy sectors is setting new benchmarks in innovative and sustainable energy solutions.
SK Telecom’s AI assistant, adot, now features Google’s Gemini 2.0 Flash, unlocking real-time Google search, source verification, and support for 12 large language models. The integration boosts user trust, expands adoption from 3.2M to 8M users, and sets a new standard in AI transparency and multi-model flexibility for digital assistants in the telecom sector.
SoftBank has launched the Large Telecom Model (LTM), a domain-specific, AI-powered foundation model built to automate telecom network operations. From base station optimization to RAN performance enhancement, LTM enables real-time decision-making across large-scale mobile networks. Developed with NVIDIA and trained on SoftBank’s operational data, the model supports rapid configuration, predictive insights, and integration with SoftBank’s AITRAS orchestration platform. LTM marks a major step in SoftBank’s AI-first strategy to build autonomous, scalable, and intelligent telecom infrastructure.
Telecom providers have spent over $300 billion since 2018 on 5G, fiber, and cloud-based infrastructure—but returns are shrinking. The missing link? Network observability. Without real-time visibility, telecoms can’t optimize performance, preempt outages, or respond to security threats effectively. This article explores why observability must become a core priority for both operators and regulators, especially as networks grow more dynamic, virtualized, and AI-driven.
Selective transparency in open-source AI is creating a false sense of openness. Many companies, like Meta, release only partial model details while branding their AI as open-source. This article dives into the risks of such practices, including erosion of trust, ethical lapses, and hindered innovation. Examples like LAION 5B and Meta’s Llama 3 show why true openness — including training data and configuration — is essential for responsible, collaborative AI development.
As Open RAN moves from trials to large-scale adoption, telecom giants like NTT Docomo, AT&T, and TELUS share their real-world deployment strategies. From multivendor interoperability to automation and security, this article explores key operational insights, ecosystem collaborations, and future directions in Open RAN architecture.
5G and AI are transforming industries, but this convergence also brings complex security challenges. This article explores how Secure Access Service Edge (SASE), zero trust models, and solutions like Prisma SASE 5G are safeguarding enterprise networks. With real-world examples from telecom and manufacturing, learn how to secure 5G infrastructure for long-term digital success.
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