What happens when carbon becomes a significant part of material cost? We look at SEB’s latest carbon-price scenarios and what they could mean for cement, construction costs, margins and industrial competitiveness.
When Carbon Becomes Cost: The Changing Economics of Construction Materials Read More »
How do we develop lower-carbon concrete faster, while maintaining performance, quality, and cost? It’s one of the construction industry’s biggest challenges, and one that increasingly requires a different approach than traditional trial-and-error mix design. At this year’s fib Congress in Lisbon, one of the world’s leading conferences for concrete engineering and structural design, Ecometrix and
AI Is Changing Concrete Development: Here’s What We Presented at fib Congress 2026. Read More »
What if every incoming document became usable business data automatically?
Administrative work shouldn’t compete with customer time. Discover how Elkedjan used AI to transform supplier quotations into structured business data, reducing manual administration and giving sales teams more time to focus on what matters most—creating value for customers
Using AI to Turn Administration into Customer-Focused Sales Time Read More »
Svensk Betong represents the Swedish concrete industry and plays an important role in providing reliable market insights and industry statistics. The Svensk Betong case shows how secure digital infrastructure and structured analytics can turn distributed industry information into meaningful market intelligence through a transparent, secure, and accessible platform.
Svensk Betong: Transforming industry reporting into data-driven market intelligence Read More »
When discussing sustainable construction, procurement often takes center stage. The focus is usually on selecting low-carbon materials, evaluating suppliers, and reducing emissions through purchasing decisions. But what if the biggest opportunity to reduce a building’s climate impact comes long before procurement begins? In this episode of Concrete Action Towards Net Zero, Anders Enebjörk (profile link),
Bravida AB is one of the Nordic region’s leading providers of end-to-end solutions for electrical, plumbing, ventilation, and other technical building services. The result was a scalable approach for transforming complex PDF documentation into structured, actionable data, accelerating workflows and unlocking the full value of EPDs and PEPs at article level.
Unlocking environmental data at scale through AI-powered EPD and PEP decoding Read More »
The recent announcement by the Prime Ministers of Sweden and India to extend the Leadership Group for Industry Transition (LeadIT) for another four years marks an important milestone for global industrial transformation. The decision reinforces the long-term commitment between Sweden and India to accelerate the transition of heavy industry and strengthen collaboration around low-carbon industrial
LeadIT 3.0: Strengthening the Sweden–India Partnership for Industrial Transition Read More »
Now that the data is cleaned and ready, it is easy to assume the hard part is done. The model will perform well, predictions will be accurate, and value will naturally follow. That assumption is where many projects fall short. You feed the data, train the model, and generate predictions, but a prediction on its
From Clean Data to Business Value: Where Machine Learning Actually Delivers Read More »
Every cubic meter of concrete counts. At Swerock, part of the PEAB Group in Sweden, reducing CO₂ emissions is not a bold announcement, it is a series of small, deliberate steps. Staffan Carlström, Product Developer at Swerock, explains how testing, learning, and scaling eco-concrete has enabled measurable progress project by project and dataset by dataset.
When people think of artificial intelligence, they imagine a sophisticated model crunching thousands, or even millions, of data points. But that’s actually the last step. The real foundation of reliable AI is the work done before a model ever sees the data. AI starts with data, not models. Real-world data is fragmented, messy, and rarely
The Invisible Work Behind Reliable AI Read More »
