Teltronic to provide the broadband communications system for EFE Trenes de Chile's new lines. Zaragoza, September 3, 2026 - Teltronic, a Spanish company with more than 50 years of experience in the critical communications sector, will be responsible for supplying the broadband communications network that will provide data transmission services for the two new lines of EFE Trenes de Chile, which will connect the capital city, Santiago de Chile, with the towns of Melipilla and Batuco, as part of the project awarded by the Chilean railway operator to Siemens Mobility for the implementation of the country's first ETCS Level 2 system. In this regard, Siemens Mobility has entrusted Teltronic with the deployment of a private 4G network that will provide coverage along the 87 kilometres of new railway lines. The system is 5G ready, meaning that it can evolve to 5G technology through a simple software upgrade. In addition, the infrastructure includes two control nodes, one primary and one redundant, to ensure system robustness. Teltronic will also equip the 32 new trains that will operate on the lines with its RTP-800, a state-of-the-art radio that will enable continuous train-to-ground data transmission. The onboard solution is completed by the DCD7 touch-screen console, which has been designed to meet the stringent requirements of railway environments and allows train drivers to operate the radio controls. The system, which is also prepared to support voice communications, will be integrated with the Passenger Information System, the public address system and the CCTV network, whose images will be transmitted in real time. It will also support the Level 2 ETCS railway signalling system and will therefore play a key role in the safe and efficient operation of the trains. "This project strengthens Teltronic's leadership position in the deployment of broadband communications networks for railway environments, with a solution that is ready to evolve to 5G, which would enable a future migration towards FRMCS implementation," explains Felipe Sanjuán, the company's Transport Business Development Director. NEW EFE TRENES DE CHILE LINES Empresa de los Ferrocarriles del Estado (EFE Trenes de Chile) is the state-owned railway company responsible for passenger transport and railway infrastructure for passenger and freight rail services across 10 regions of the country. As part of its commitment to improving the quality of life of the communities it serves by reducing travel times and promoting sustainable connectivity, the company will expand its services with two new lines, Melipilla-Estación Central and Santiago-Batuco, comprising nearly 90 kilometres of high-standard railway infrastructure in the Metropolitan Region. Both lines will generate significant journey time savings for approximately 92 million passengers per year. In total, EFE Trenes de Chile will bring 32 new trains into service, and the new routes will include a total of 19 stations. Photo: (C) EFE Chile

Oakville named among Canada's best locations for corporate investment for eighth straight year. More than $3 billion CDN in investment and 1,926 jobs were recorded in Oakville during Site Selection's latest reporting period Oakville has been recognized as one of Canada's top locations for investment for the eighth consecutive year, according to the Town of Oakville. The town has again been included in Site Selection Magazine's annual Canada's Best Locations list, which recognizes 20 locations across Canada for its corporate investment projects. According to Site Selection, Oakville saw more than C$3 billion in investment and 1,926 jobs created between June 1, 2025, and May 31, 2026. The figures include Ford's retooling of its Oakville Assembly Complex. Site Selection also highlighted other projects, such as investments involving AFX Mixing & Pumping Technologies, Siemens Canada, Concast Pipe, Laurentis Energy Partners and Pinty's Delicious Foods. The publication reported that eight additional companies invested about C$9 million in Oakville during the period, although their names were not disclosed. Site Selection's rankings are based on corporate facility projects recorded in its Conway Projects Database. Qualifying projects must meet criteria involving investment, job creation or new facility space. The publication also evaluates investment and job creation on a per-capita basis. Oakville was one of several Ontario communities included in this year's list, alongside Brampton, Brantford, Hamilton, London, Mississauga, Oshawa, Greater Sudbury, Toronto, Vaughan and Windsor-Essex. The Town says several companies also arrived in Oakville during the year, including Laurentis Energy Partners, Miura Canada Co. Ltd., AFX Mixing and Pumping Technologies and BorderWorx. Investment in advanced manufacturing and artificial intelligence has also continued. In April, the federal government announced $23 million toward a $70-million Siemens Canada project to expand its Global AI Manufacturing Technologies Research and Development Centre for Battery Production in Oakville. The project is part of a broader $150-million investment by Siemens, according to the town. Town staff also attributes Invest Oakville for its work in attracting new businesses to the area. We welcome your feedback and encourage you to share your thoughts. We ask that you be respectful of others and their points of view, refrain from personal attacks and stay on topic. To learn about our commenting policies and how we moderate, please read our Community Guidelines. If you would like to apply to become a Verified Commenter, please fill out this form.

AI is changing what data centres need to be, and it's happening fast. Reading Time: 5 mins read The data centre of the future is much less a warehouse full of servers and much more like a highly engineered information ecosystem. Siemens' Ciaran Flanagan breaks down the hype versus the reality. Artificial intelligence (AI) adoption is accelerating around the world, and every country is grappling with a common challenge: how do we build the digital infrastructure needed to support this new era of processing demand? Australia is no exception. Speaking at the Melbourne Cloud & Datacenter Convention 2026, Siemens Global Head of Data Center Vertical Ciaran Flanagan described the shift as "undoubtedly the biggest single transformation in our industry in 20 years". "This change that we're going through globally is absolutely unprecedented," he said. While much of the public conversation around AI focuses on software, models and applications, Flanagan argues the next phase of the AI revolution will be defined by something less visible but equally important: the infrastructure that supports it. From electricity networks and cooling systems to digital twins and advanced automation, AI is changing what data centres need to be - and how they need to operate. The big shift: the building now matters For years, advances in computing have largely been driven by software. But as AI workloads become increasingly demanding, the physical infrastructure supporting them is becoming a competitive advantage in its own right. "Looking beyond software, the competitive battlefield is also going to be played out with how efficiently we can run these facilities," Flanagan said. "That's energy, that's water, that's people. That's every single facet of how a data centre runs." In practical terms, this means data centres can no longer be viewed simply as buildings full of servers. Operators are now focused on how effectively power, cooling, compute and operations work together as a coordinated system. The stakes are high. Demand for AI services continues to grow rapidly, while the facilities required to support those services are becoming larger, denser and more complex. At the same time, Flanagan believes AI investment is delivering benefits beyond the data centre sector itself. "The AI investment is catalysing grid modernisation across the globe," he said. "Grid modernisation benefits everybody." Why chips are driving the future One of the biggest shifts in the industry is where designers are looking for guidance when planning future facilities. Historically, data centres were designed around workloads and applications. Increasingly, however, the starting point is the silicon itself. "It is actually the chip. It's the microprocessor behaviour that defines your technical design," Flanagan said. As AI processors become more powerful, they consume more energy and generate more heat. Understanding those characteristics is becoming critical to decisions around power distribution, cooling systems and facility design. Flanagan points to a recent customer engagement where assumptions about how AI workloads would be deployed turned out to be incorrect. "The working assumption was it was going to be an inference strategy using GPUs (Graphics Processing Unit)," he explains. "It turns out when we dug into it, a lot of their inference strategy was based on CPU (Central Processing Unit), and that impacts how they distribute power and how they manage cooling." Why cooling matters more than ever Heat has always been part of the equation in data centres. AI is making it a much bigger one. Traditional air-cooling approaches are increasingly being supplemented by liquid cooling technologies designed to remove heat more efficiently from high-performance processors. This is becoming as much a question of resilience as it is of efficiency. "These data centres that are going to be running with a thermal runaway window of seconds, in some cases minutes, as opposed to 30 minutes in the past," Flanagan said. In other words, operators may have only seconds to respond if cooling systems fail. That reality is driving greater investment in automation, monitoring and predictive control systems. "The data centre of the future, the autonomy, it's real," he said. According to Flanagan, the focus is increasingly shifting beyond cooling hardware itself and towards how cooling systems are managed and controlled. "How the liquid cooling loop is informed by the GPU or CPU load, is really, really critical to reliability and efficiency," he said. Powering the next generation of AI The rapid growth of AI is also reshaping conversations about energy. As facilities become larger and more power-intensive, operators are exploring new approaches to electrical infrastructure, including greater use of direct current (DC) architectures. But, Flanagan explains, transitioning an entire industry is anything but straightforward. "We're very deep in the discussion with our customers on direct current," he said. "But moving a data centre industry, en masse, in large quantities, to direct current, is not trivial." Questions around safety, regulation and scalability will need to be addressed before widespread adoption becomes a reality. "We're working through those challenges right now," Flanagan said. "And modularity is a massive part of how we're addressing this for our customers." What is clear is that future AI infrastructure will be more closely connected to the electricity system than ever before, making collaboration between technology providers, utilities and governments increasingly important. Building faster and smarter As demand accelerates, speed of deployment is becoming a major consideration. Flanagan believes modular construction approaches will play an important role in helping operators bring new capacity online more quickly. "Modularity is a lever for efficiency," he said. Prefabricated systems can reduce construction timelines and accelerate the deployment of high-value computing infrastructure, helping organisations realise returns on investment sooner. At the same time, digital twin technology is changing how facilities are planned and designed. "Several of our customers are working with us today to build their future data centre, in software, in 3D, and they're doing all of their simulation before they ever break ground," Flanagan said. By modelling electrical systems, cooling infrastructure and operational scenarios before construction begins, operators can reduce risk, improve predictability and make more informed decisions. "It's a real differentiator." No one can do it alone The future data centre will look very different from the facilities of the past. More automated, more intelligent, and more tightly integrated with the energy systems around it, it will function less like a server warehouse and more like an industrial-scale information ecosystem. Building that future, Flanagan said, requires a fundamental rethink of the infrastructure that makes AI possible. "At Siemens, we're very confident that we can meet this challenge," he said. "It will take collaboration across the industry, but together we can meet the demand and deliver on the promise of AI."