AECCafe Today 
Sanjay Gangal
Sanjay Gangal is the President of IBSystems, the parent company of AECCafe.com, MCADCafe, EDACafe.Com, GISCafe.Com, and ShareCG.Com. AEC Industry Predictions for 2025 — LinarcJanuary 15th, 2025 by Sanjay Gangal
By, Shanthi Rajan, CEO, at Linarc  Shanthi Rajan Construction Industry 2025: Predictions in Tech, Labor, Materials, and Sustainability The construction industry in 2025 is poised for transformative change as technology, labor challenges, material innovations, and sustainability take center stage. These drivers are shaping a future that demands agility, innovation, and resilience. Here’s a closer look at what lies ahead. Technology: AI and Automation Lead the Charge Technology will remain a defining force, with Artificial Intelligence (AI) and automation continuing to revolutionize how construction projects are planned and executed. AI-Integrated Technology AI is revolutionizing the construction industry’s design, estimation, budgeting, and project management. From predictive analytics to generating advanced reports, AI-enabled automation empowers project managers to anticipate delays, identify budget overruns, and make real-time schedule adjustments. Enhanced camera and image analysis technologies improve site safety by predicting hazards with remarkable accuracy. AI-driven scheduling tools continue to optimize timelines by leveraging real-time data, reducing project durations and costs. Moreover, advancements in AI clash detection and resource allocation are helping teams prevent conflicts and allocate resources more efficiently, driving productivity and minimizing waste. AEC Industry Predictions for 2025 — Leica GeosystemsJanuary 6th, 2025 by Sanjay Gangal
By Jesús Bonet, director of sales and business development, Leica Geosystems (part of Hexagon).  Jesús Bonet 2025 construction surveying technology trends – Leica Geosystems In your opinion, what are the three most important trends in the field of surveying technology in construction? The rise of cloud computing, driven by the need for centralised data, has enabled surveyors and construction professionals to capture data in the field, then upload it to the cloud in real-time. This avoids users having to copy files, stops stakeholders working on multiple different datasets, and mitigates the cost and risk of owning servers. Another trend is mobile scanning – devices that capture data on the move with the click of a button. Static laser scanners, on the other hand, take longer to set up and require more training to operate. Mobile scanners give greater flexibility and speed during data capture, while also being highly accurate – perfect for daily construction progress monitoring, for example. Last, it’s difficult to talk about trends without mentioning artificial intelligence (AI). AI has enhanced surveying technology by streamlining the process between capturing data and generating meaningful insights. For example, AI in 3D laser scanners can automatically classify objects in buildings like walls, floors, and furniture – avoiding time-consuming manual data processing. Mobile mapping devices attached to cars integrate AI which automatically blurs faces and vehicle license plates, anonymising the data at the point of creation. Read the rest of AEC Industry Predictions for 2025 — Leica Geosystems AEC Industry Predictions for 2025 — vGISDecember 18th, 2024 by Sanjay Gangal
By Alec Pestov Founder, vGIS  Alec Pestov Predictions for the 2025 AEC Sector In 2025, the architecture, engineering, and construction (AEC) sector will continue to evolve—not through sudden disruption but through the steady refinement of specialized tools. These advancements won’t replace the tried-and-true methods but will work alongside them, enhancing efficiency and streamlining processes. Real progress comes not from adopting tools for the sake of innovation but from rethinking how we use them to tackle longstanding challenges. Here’s what we expect in the year ahead. Custom AI: Practical Applications, Real Results AI has steadily made its way into construction workflows, addressing specific challenges with focused tools. From automating permit submissions to tracking tasks and verifying data quality, these purpose-built AI solutions simplify processes and provide users with immediate insights. What’s changing now is the emergence of comprehensive platforms that combine multiple AI functions. These platforms have the potential to unify fragmented tools, making it easier to connect workflows and create broader efficiencies across projects. The cumulative effect is already evident: repetitive tasks are automated, human error is reduced, and professionals are freed to focus on solving more complex problems. In 2025, we anticipate more examples of AI and machine learning showcasing their value in real-world applications. Tools like vGIS’s trenching solutions will demonstrate how AI can solve specific challenges while delivering measurable results. The goal isn’t about sweeping changes but about practical improvements that make daily operations smoother and more efficient. Arcure Blaxtair: Transforming Industrial Safety with AI-Driven Pedestrian DetectionDecember 6th, 2024 by Sanjay Gangal
Las Vegas, NV — At the 2024 Trimble Dimensions Conference, industry leaders gathered to showcase groundbreaking advancements in technology and safety. Among them, Franck Gayraud, CEO of Arcure, shared insights into his company’s mission to bring AI-driven pedestrian detection technology to the heavy machinery and industrial safety sectors. Arcure, a France-based company Gayraud co-founded 15 years ago, operates under the brand Blaxtair, a name now synonymous with collision prevention technology in high-risk work environments. This system has become a lifeline for operators of large vehicles, from construction and mining to logistics and warehousing, where the line between safety and hazard is often razor-thin.  The latest version of the Blaxtair sensor, embedding edge AI safety functionalities. Sitting down with Gayraud, it quickly became evident that Blaxtair isn’t just about technology but also about fostering a safety-first culture in industries where even minor oversights can have catastrophic consequences. “We designed Blaxtair to be an intelligent ‘eye’ for operators, recognizing and reacting to the presence of pedestrians around industrial vehicles,” Gayraud explained. Blaxtair’s ability to detect humans in the vicinity of vehicles and then trigger either alerts or an automatic slowdown makes it an essential tool for workplaces navigating an increase in human-machine interaction. Read the rest of Arcure Blaxtair: Transforming Industrial Safety with AI-Driven Pedestrian Detection At Trimble Dimensions, AI Shifts from Hype to Practical ApplicationsNovember 18th, 2024 by Sanjay Gangal
Las Vegas — Trimble Dimensions 2024, held in the buzzing halls of the Venetian Convention Center, was a showcase of transformative technology for the built environment. Amid the digital displays and technical presentations, I had the pleasure of meeting with Karoliina Torttila, Trimble’s Director of AI, for an in-depth conversation. Torttila is Trimble’s quiet powerhouse in harnessing artificial intelligence to meet the nuanced needs of architecture, engineering, and construction (AEC). Our discussion underscored the practicality driving Trimble’s AI initiatives, turning AI from an abstract idea into a tool that supports real-world challenges.  Karoliina Torttila Torttila greeted me warmly, her passion evident as she described her work. “Our job,” she said, “is to adapt AI to make it genuinely useful for our industry.” In Torttila’s view, AI must address the unique challenges of AEC, where construction sites, structural materials, and surveying equipment require specialized knowledge that traditional AI models simply don’t have. “There are fantastic general AI models, but they aren’t designed to handle the complex, ever-changing environments of construction and surveying.” One of the most significant hurdles Torttila faces is training AI to recognize the highly specific visuals and conditions on construction sites. While AI is adept at recognizing common objects in everyday settings, it falters when applied to niche environments like electrical substations or construction zones, where the visual data is dramatically different. Torttila explained how her team at Trimble refines these models to interpret everything from survey instruments to steel beams in real-world conditions, filling in gaps left by standard AI training sets. “We’re not building a ‘ChatGPT for construction,’” she laughed. “Instead, we’re refining existing models to make them reliable in our specialized settings.” Read the rest of At Trimble Dimensions, AI Shifts from Hype to Practical Applications |
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