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Meet The Software ThatĀ HelpsĀ Keep Colombia’s Most Isolated Towns Connected to the World

In Colombia, geography can be destiny. Steep ridgelines, dense jungle, and narrow valleys carve parts of the South American country into isolated pockets of civilization where roads can’t always follow. In many communities, a town’s main street doubles as its airstrip, and rivers are the only highway. A person might spend three hours by boat and another three by mule just to reach the neighboring town. Two pilots from SATENA planning their flight route in a simulator. An airplane can make some of these trips feasible. But threading safe flight routes through remote parts of Colombia is complex, riddled with such obstacles as high mountains and unpredictable weather, says Alexander Reyes GonzĆ”lez, leader of Air Navigation Affairs at SATENA, Colombia’s state-owned domestic airline.Ā  A safe flight route is a piece of invisible infrastructure, and that’s exactly where software from Bentley Systems, the infrastructure engineering software company, comes in. Its MicroStation software is typically used for building digital models of roads, bridges, tunnels, and other infrastructure. But SATENA relies on it to design flight maps and procedures that not only meet regulatory safety requirements but open entirely new routes.Ā Ā  That, in turn, helps satisfy SATENA’s social mandate: to connect the most

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The Man Who Opens Everything

When you walk into Bentley Systems’ Dublin office on most weekdays, you’ll likely find Julien Moutte exactly where you expect him: at a desk, made from light wood, located in the middle of the open-plan floor. There’s no corner office, no closed door. Instead, he’s surrounded by a beehive of software developers, productĀ  managers, and other colleagues building Bentley’s civil engineering software. The symbolismĀ of theĀ setupĀ is intentional. As Bentley’s chief technology officer, Moutte believes in removing barriers—and in leadership that’s accessible and visible. He typically arrives before 8 a.m. and is often the last to leave. His long hours aren’t meant to signal authority; he wants to be present and available. ā€œAt any point in time, people can see that I am here, I am working, doing everything I can to make us and our customers win,ā€ he says. ā€œDoing this hidden in a room ruins most of the benefit.ā€ His desk serves as an invitation, and colleagues often stop by with questions or to kick around ideas about artificial intelligence (AI), infrastructure engineering, and other topics. ā€œI want people to be able to engage me, ask questions, debate,ā€ he says. ā€œNo hidden agenda; I want to create clarity about where

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How Dublin Is Building a Smarter and More Resilient CityĀ WithĀ Data and Digital Twins

On a brisk November morning, Julien Moutte walked through Dublin Docklands with a small camera crew in tow for a film being produced for Bentley Systems by BBC StoryWorks Commercial Productions. Over the last two decades, the area has been transformed into a major tech hub in Ireland, and Moutte was telling a story about how cities can use data, digital models, and artificial intelligence (AI) to become smarter and more resilient. ā€œTechnology and infrastructure can have a massive impact on the world, but you always do that for the benefit of the citizens,ā€ Moutte said. Moutte, who serves as Bentley’s chief technology officer, is one of the central voices in the new film, which is part of a digital content series presented by the International Project Finance Association (IPFA),Ā aĀ globalĀ organizationĀ focused onĀ the future of urban infrastructure. Bentley’s film explores how Dublin is using digital technology to confront challenges familiar to cities around the world: flooding, fire risk, congestion, climate pressures, and data overload. What sets the Irish capital apart is its approach, and Smart Dublin is at the center of the effort. It’s an initiative created by the city’s four local authorities to bring together civic leaders, citizens, universities, startups, and

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Alabama Bets on AI to Fix Its Roads. It’s Not the Only State Placing That Wager

Good data means money well spent for Morgan Musick, an engineer at the Alabama Department of Transportation. High on her wish list is reliable, up-to-date information about the condition of every guardrail, road sign, and median strip marking Alabama’s 11,000 miles (about 17,703 km) of state roads and highways. The data needs to be so good that she can stake her department’s budget on it. Alabama is among the first U.S. states to adopt performance-based budgeting for road maintenance.Ā The approach allocates money based on what the roads actually need, rather than on what each district requested the previous year. But the execution has been far from straightforward. The approach depends on good data, and for most of the past 15 years, that data came from crews driving the network of roadways with clipboards, cameras, and practiced eyes. Ā  The results were valuable but uneven. Different inspectors saw different things.Ā  Coverage varied as some stretches of road got surveyed more often than others. “To strengthen our performance-based budgeting, we need consistent, quantified data to produce condition assessments across all districts,” said Musick, the department’s assistant maintenance management engineer. The solution Alabama chose isĀ Blyncsy, a platform powered by artificial intelligence (AI) from

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How a Portuguese Water Utility Uses SoftwareĀ To Manage ItsĀ NetworkĀ During Persistent Heat Waves

As summer temperatures in northern Portugal increasingly push past 38°C (100°F), water providersĀ can’tĀ afford to treat heat waves and demand spikes as outliers. WhenĀ waterĀ tanksĀ run low, pumping costs surge and pressure drops threaten service to major cities and remote rural towns alike.Ā  The stakes are especially high for Ɓguas do Norte, a public water and wastewater utility servingĀ nearlyĀ 2Ā million residentsĀ across 63 diverse Portuguese municipalities. It needs a system that can showĀ what’sĀ happening across thousands of kilometers of its water pipe network and help decide what to do next.Ā That’sĀ whyĀ the utilityĀ has increasingly turned to Bentley SystemsĀ software. In fact, Bentley’sĀ OpenFlowsĀ WaterĀ solution has become central to how Ɓguas do Norte plans,Ā anticipatesĀ stress onĀ itsĀ system, and makes smarter investment decisions.Ā It’sĀ also part of a broader collaboration with H2OPT—a Portuguese engineering firm specializing in real-time hydraulic modeling—to modernize northern Portugal’s water infrastructure and boost resilience in the face of climate and population change.   ā€œWe needed a model of the entire system, something we could use for smarter, fasterĀ and more reliable decision-making,ā€ says LuĆ­s Nicolau, director of theĀ utility’sĀ Asset and Investment Management.   A Utility with a broad mission- and a complex network Ɓguas do Norte has a complex and challenging mandate. ā€œWe handle everything: drinking water, treatment, transmission to our municipal clients;Ā and in eight communities, the

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Why an Open Standard for Gaussian Splats Could Transform Infrastructure

In early February, the Khronos Group, the open standards consortium which counts Google, Nvidia and Apple among its members, released a candidate for a new extension that could reshape how the world captures and shares three-dimensional reality. The extension, called KHR_gaussian_splatting, would for the first time enable storing 3D Gaussian splats inside glTF 2.0—the most widely used format for delivering 3D content across the internet. If that sounds technical, here’s what it means in plain language: there is now a path toward a universal, open format for a breakthrough 3D imaging technology that is poised to change how we experience the real world online. This format has the potential to dramatically improve everything from how engineers design, build and inspect bridges, factories and telecom networks, to how we experience sports, entertainment and everyday reality. The extension standardizes Gaussian splatting, a technique that turns ordinary photographs into stunningly realistic 3D scenes. Traditional models turn 2D images into 3D models by wrapping a hollow polygonal “skin” around objects. “KHR_Gaussian_splatting marks a major milestone for glTF, extending the format to support an entirely new class of geometric representation,” said Neil Trevett, president of the Khronos Group. The acronym glTF stands for graphics language

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This Software Can Predict Exactly Where the Power Grid Will Fail—SoĀ Operators CanĀ Prevent It

You could argue that reliable electricity has never mattered more. Data centers powering AI are multiplying. Electric vehicles are spreading. Yet the grid carrying all this load was largely built decades ago, and it keeps failing under weather that old standards say it should survive.Ā  In late January, ice storms across Louisiana, Mississippi, and Tennessee left hundreds of thousands of people and businesses without power. In Mississippi alone, the storm downed some 1.5 million feet of Ā wires—that’s more than 280 miles—damaged nearly 1,400 poles, 320 transformers and 800 transmission tower cross arms, according to Entergy. The pattern of destruction and recovery is familiar: ice accumulates, wind blows, poles and wires snap, crews replace them—often with the same size poles and components that just failed.Ā  But the technology to break this cycle already exists. Advanced software can model every pole, crossarm, and wire on the grid, simulate any windstorm and ice cover, and show exactly which structures will fail. Add AI and connected data to the mix, including massive amounts of information captured by drones, and the bottleneck—modeling what’s already out there—is finally starting to crack.Ā  Entrepreneur Otto Lynch is the expert on this topic. He has spent two decades on

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Inside Bentley’s Tech Summit: Breaking Barriers to Build Value

On the second morning of the Bentley Tech Summit in Berlin, Marina Savenkova looked around a crowded conference room and paused. ā€œI totally can say one Bentley,ā€ said Savenkova, an Ireland-based senior application engineer at Bentley Systems. ā€œYeah, one Bentley with colleagues and with users.ā€ It wasn’t a slogan. It was an observation. All around her were engineers, product managers, solution specialists, and Bentley software users from across the world, clustered together in small groups. Laptops open, diagrams sketched, notes scribbled. Workflows adjusted on the fly. Problems that normally move slowly through organizational channels were quickly being discussed—and often resolved—in real time. The scene captured the essence of the summit, also known as BTS25. The three-day event wasn’t designed as a product showcase or series of presentations, but rather as a working environment—one where learning, teaching, and alignment happened together across roles and disciplines. ā€œIt’s almost like lightning in a bottle,ā€ said Volaree Rendon, Bentley’s director of solutions engineering. ā€œYou have this hive mind.ā€ That collaborative atmosphere was intentional. More than 500 Bentley colleagues and users came to Berlin in December to do the hard work of understanding how infrastructure is designed, built, and operated today—and where friction still exists.

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Bentley Systems Brings AI and Digital Twins to The World’s Largest Transportation Research and Policy Forum

Each January, Washington becomes the global hub for the future of transportation. Thousands of policymakers, researchers, engineers, and industry leaders gather in the U.S. capital for the annual meeting of the Transportation Research Board (TRB). The gathering is widely regarded as the world’s largest transportation research and policy forum. The reason: influence. As part of the National Academies of Sciences, Engineering, and Medicine, TRB works year-round with more than 5,500 transportation professionals through its research programs and technical committees. That work informs transportation policy, funding, and regulation, including across the U.S. at the federal and state levels.This year, the annual meeting attracts 12,000 attendees and features nearly 250 sessions that bridge artificial intelligence (AI) data with information technology, geotechnical engineering, maintenance, energy, mobility, and other areas. For Bentley Systems, the infrastructure engineering software company, the TRB Annual Meeting is where technology, research, policy, and real-world impact intersect. “There is a magic to TRB, the only global conference that brings together all key stakeholders to define the future of a multi-modal, complex transportation system,ā€ says Ben Levine, Bentley’s director of market development who previously served as the deputy assistant secretary for research & technology at the U.S. Department of Transportation. ā€œThis

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How Hawaiā€˜i Is Modernizing Road Maintenance With AI: Inside The AI Effort Helping Hawaiā€˜i Stay on the Move

Hawaiā€˜i is so rich in natural beauty that in parts of the world its name is shorthand for paradise. But exploring that paradise depends on something far more prosaic: roads. Maintaining them is anything but easy. Sun, salty air, torrential rain, lush vegetation, and even volcanic activity take a relentless toll on roads and highways that encircle and cross the U.S. state’s islands. That challenge is why the Hawaiā€˜i Department of Transportation (HDOT), working with the University of Hawaiā€˜i, launched Eyes on the Road. The program uses artificial intelligence (AI) and machine learning to analyze imagery from 1,000 high-definition dashcams. The free cameras were handed out to residents for installation in their cars to help spot road problems early—before they become safety hazards. ā€œThe Eyes on the Road program will give us the information we need to get to damaged facilities quickly,ā€ HDOT Director Ed Sniffen says. HDOT and Bentley recently announced their collaboration. The dashcams automatically record video as residents go about their day, capturing road safety issues such as guardrail damage, vegetation encroachment, and road debris. The system uploads the video to the cloud via a cellular connection and anonymizes the data. Using machine learning algorithms and advanced

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