Author: Carter

Large-scale data centers benefit from structural demand, long-duration contracts, and accelerating AI workloads NEW YORK, Jan. 20, 2026 /PRNewswire/ — Market News Update News Commentary – The global data center market is poised for robust growth, driven by the ongoing digital transformation of enterprises, cloud adoption, and the expanding footprint of artificial intelligence and edge computing. Analysts project the sector to exceed $300 billion by 2026, with annual capacity growth supported by both hyperscale facilities and decentralized edge nodes that bring compute closer to end users and low-latency applications. Enterprise workloads, hybrid and multi-cloud deployments, and the proliferation of IoT devices…

The modern-day era is full of challenges faced by logistics as an industry. As you may already see in your organization, according to McKinsey, global supply chain disruptions cost companies as much as $4 trillion annually, while the World Economic Forum reports that logistics companies are confronted with unexpected operational downtime by as much as 40% every year. With surging fuel costs, labor shortages, unpredictable weather, and sudden market fluctuations, this sets a stage where you can clearly see why traditional risk management is becoming increasingly less effective.In this landscape, ML becomes the game-changer for you and your organization. With…

Enterprises in multiple sectors are deploying private 5G to support automation and new operating models. Manufacturing, healthcare, logistics, and energy organisations can come to rely on dedicated wireless networks to the extent that their significance is regarded as a ‘given’. Yet such systems connect important systems, enable real-time control, and support data-intensive applications. As private 5g and connectivity/integration projects evolve, operational leaders face several parallel challenges, but have to proceed with work without introducing new risk vectors. A new report from the Wireless Broadband Alliance (WBA), titled Enterprise Security for private 5G Networks sets out a unified security framework designed…

Automation can fix problems. That belief is a persistent and expensive myth in today’s organizations. Automation only accelerates what already exists. And if you have a bad foundation, anything built on it can’t be stable, regardless of how much technology you try to inject into it. Because automation doesn’t improve marketing maturity, it exposes it. If your processes are clear, lean and well-governed, automation will make them faster, cheaper and more reliable. But if they’re bloated, contradictory or compromised by internal politics, automation will simply help you fail sooner and stronger. Speed amplifies dysfunction Consider an organization that automated invoice…

A strange charge appears on a bank account. An email claims a package is on the way. A social media account stops accepting a password that worked yesterday. When these moments hit, many people do the same thing. They open Reddit and ask strangers for help. A new study shows how often this happens and what people ask when they do. Researchers affiliated with Google and University College London built an analysis pipeline that sifted through 1.1 billion Reddit posts over four years to understand how users seek help. Everyday online activity carries risk Internet users deal with a wide…

The cloud is no longer treated as a place to experiment. For many enterprises, it has become the default environment for running AI systems that support daily work. That shift, more than any headline figure, explains why cloud spending continues to climb.Instead of short trials or isolated pilots, AI workloads are now tied to core functions such as forecasting, planning, and customer operations. Once these systems move into regular use, they demand steady access to compute power, storage, and networking. That need has kept demand for cloud infrastructure strong, even as companies apply more discipline to technology spending.Market data supports…

Faraday Future (NASDAQ:FFAI) said it will hold the final launch and begin sales of its first EAI robotics products and an FF/FX Par partner recruitment event on Feb 4, 2026 at the NADA Show in Las Vegas (Booth 6030N, 11:00am PST). The company plans to present the FX Par model as a dealer-integrated user‑ecosystem approach and to position dealers as potential long‑term partners and equity participants. FF also confirmed participation at UMEX 2026 in Abu Dhabi on Jan 20–22, 2026 with FF 91, FX Super One and EAI robotics. Production work at the Hanford factory is underway after…

General Matrix Multiplication (GEMM) forms a cornerstone of modern scientific computing, yet achieving peak performance on multi-core systems remains a significant challenge. Yufan Xia, Marco De La Pierre, and Amanda S. Barnard, from the Australian National University, alongside Giuseppe Maria Junior Barca, tackled this problem by developing a machine learning approach to runtime optimisation. Their research introduces a proof-of-concept Architecture and Data-Structure Aware Linear Algebra (ADSALA) library, which dynamically selects the optimal number of threads for GEMM tasks. This innovative method, tested on both Intel Cascade Lake and Zen 3 high-performance computing nodes, demonstrates a substantial 25 to 40 per…

The rush to deploy sovereign artificial intelligence (AI) and run inference at the edge is driving more enterprises to deploy Kubernetes on-premise, according to Dan Ciruli, vice-president and general manager of cloud native at Nutanix. Speaking to Computer Weekly on a recent visit to Singapore, Ciruli noted that while Kubernetes has been around for over a decade, the requirements of modern AI workloads are changing how and where the container orchestration platform is deployed. While many organisations previously relied on managed Kubernetes services, such as Amazon Elastic Kubernetes Service or Google Kubernetes Engine, the need to keep sensitive data…

Recently, Indian health platform Tata 1mg partnered with payroll fintech OneBanc to integrate AI-driven corporate healthcare directly into payroll systems, embedding wellness analytics into routine employment infrastructure rather than treating mental-health support as a separate benefit. Similar deployments are emerging across sectors.While no public data reliably quantify how many workers use AI wellness tools, market growth and vendor proliferation suggest these systems already reach millions of workers. The market for chatbot-based mental-health apps alone is estimated at $2.1 billion in 2025, projected to grow to $7.5 billion by 2034.Observers report that AI can potentially enhance workplace wellness by analyzing patterns…