Concrete remains the foundation of modern infrastructure, yet its production is responsible for nearly 8% of global carbon emissions. As the construction industry works to balance environmental responsibility with efficiency, safety, and performance, digital technologies are emerging as powerful enablers of change.

This session will explore how artificial intelligence, automated data collection and processing, and real-time analytics are transforming how concrete is managed, monitored, and optimised—supporting better outcomes across sustainability, quality, and compliance.

We’ll look at how centralised, automated data management systems are replacing manual processes, improving traceability, and enabling robust compliance and reporting across projects. By consolidating data from multiple sources and applying intelligent analysis, construction teams gain a single source of truth for quality control, performance validation, and carbon tracking—helping them meet evolving regulatory and sustainability demands with confidence.

The session will also highlight how AI-driven approaches to mix design can reduce reliance on carbon-intensive materials like cement. By adjusting compositions in response to real-time site conditions, project teams can achieve leaner mixes that maintain strength and durability while significantly lowering embodied carbon and cost.

Through practical case studies, we’ll examine how these technologies are already delivering value on active construction sites—from accelerating delivery and reducing cement usage to enabling better environmental reporting and decision-making.

Finally, we’ll explore what’s next: the role of predictive analytics and full lifecycle data in shaping the future of concrete construction. Attendees will leave with a clear, practical understanding of how integrating intelligent data systems and real-time monitoring can contribute to safer, more efficient, and more sustainable building practices.