A vendor-neutral 5-year ROI model for private LTE or 5G in mining — covering equipment, safety, productivity, and energy use cases.
You’ll need: your mine type, production volume, and equipment count.
Produces: a 5-year ROI with safety and productivity value, plus a PDF report.
Score airport AI use cases on business value, data readiness, technical feasibility, organisational readiness, and risk — with next steps for each.
You’ll need: your airport profile and candidate use cases.
Produces: a ranked shortlist with next steps per use case, plus a PDF report.
Rank AI use cases for container, bulk, RoRo, and inland terminals — throughput-weighted, with TOS data maturity and yard connectivity as readiness dimensions.
You’ll need: your terminal type, throughput, and TOS maturity picture.
Produces: a ranked shortlist with a readiness view, plus a PDF report.
Eight French organisations — including Capgemini, Orange, EDF, Iliad and Scaleway — have formally united under the AION consortium to bid for an EU AI Gigafactory designation, backed by approximately €10 billion in committed investment. The bid targets EuroHPC’s live call for proposals, closing June 23, 2026, and is designed to demonstrate France’s ability to anchor the full AI value chain. For telecom and enterprise IT leaders, AION signals a structural repositioning of European operators as sovereign AI infrastructure enablers, not merely connectivity providers.
Volt Typhoon wasn’t just a cyberattack – it was a strategic warning about the IT/OT boundary every utility now operates across. Zero trust is the only security model built for this threat environment, and private mobile networks are the foundation that makes it implementable. Here’s what utilities need to know — and act on now.
Edge AI is reshaping how utilities manage the grid — moving intelligence from the control room to the substation itself. Small language models, autonomous agents, and hardened edge routers are enabling faster fault detection, predictive maintenance, and real-time load optimization. But distributed intelligence demands distributed security. Here’s what utilities need to build both.
Runaway AI training demand is pushing data center fabrics past their limits, making optical networking the bottleneck to unlock GPU-scale performance and efficiency. Scale-up connects more GPUs within a box or across tightly coupled racks to form supernodes with ultra-low-latency fabrics. A new forecast from Goldman Sachs positions optical networking as the next mega-trend in AI infrastructure, with spend growing an order of magnitude as clusters densify. CPO—integrating optical engines with switch ASICs or accelerators—features prominently in the growth outlook. Expect a technology mix that also includes pluggable 800G/1.6T optics and emerging Linear Pluggable Optics (LPO) to reduce DSP power
China Telecom, China Mobile, and China Unicom have each unveiled token-based service plans, ecosystem alliances, and commercial pricing structures that reframe what it means to be a telecom provider in the AI era. This is not a pilot program or a speculative roadmap. It is a structural shift in how network operators intend to generate revenue, compete for enterprise customers, and position themselves at the center of the AI economy — driven by a greater than 1,000-fold surge in daily token consumption across China between early 2024 and March 2026.
Alibaba’s Zhenwu M890 AI accelerator, developed by chip unit T-Head, delivers approximately three times the performance of its predecessor and features 144GB of on-chip memory purpose-built for agentic AI workloads. Backed by a $53 billion infrastructure commitment and a published roadmap extending to the J900 chip in 2028, Alibaba is building sovereign AI infrastructure from silicon to software. With over 560,000 chips shipped to 400-plus customers across 20 industries, this is a commercially validated platform — not a prototype — signaling a maturing Chinese AI hardware ecosystem.
Verizon’s 2026 Data Breach Investigations Report, based on analysis of more than 31,000 security incidents, finds that 31% of all breaches now originate from software vulnerability exploitation—surpassing stolen credentials as the leading initial access vector. Generative AI is accelerating this shift, with threat actors applying AI across an average of 15 distinct attack techniques. Ransomware remains pervasive, though ransom payments are declining. For telecom and enterprise IT leaders, the report signals an urgent need to treat vulnerability management as a real-time discipline and embed AI-native security tooling into defense operations.
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