Payapps brought together customers, construction professionals and team members for its annual summer experience day at Mercedes-Benz World, combining networking and driving experiences with discussions on the challenges and opportunities facing the construction industry.
Even in its simplest form, technology can be a universal enabler, helping you to grow your business from strength to strength. The question is, how can you make digital workflows work for you? Here, Sophie Lynch, SMB account manager at Trimble explores some of the common obstacles to technology adoption and how you can use it to your advantage…
Artificial intelligence is no longer a fringe topic in the architecture, engineering, construction and operations (AEC/O) industry. It is rapidly becoming a defining force in how we design, build and operate the environments that shape everyday life, writes Julian Geiger, VP head of AI product & transformation at Nemetschek Group.
Construction may have mastered the fundamentals of harnessing digital models and gathering data, but the true value of data lies in supporting collaboration, extracting insights and solving issues before they arise, writes Taylor Cupp of Hexagon Multivista.
There is no shortage of standards and guidance for the built environment. The challenge is that they often refer to specific stages of the asset lifecycle and it can be unclear how they join up. The Digital Operations Working Group has been formed to help address these increasingly pressing challenges.
Despite the many promised benefits of these digital technologies, the reality is that many have yet to reach their full potential in the built environment, writes Anni Feng, chair of the Institution of Engineering & Technology’s Digital Futures Policy Centre.
As AI drives unprecedented demand for data centres Britain’s construction industry must embrace the revolution or risk being left behind by global competitors, write Hari Vasudevan, founder and CEO of KYRO AI, and Neil Shah, president and CEO of the Construction Financial Management Association.
A first-of-its kind AI tool that predicts the carbon footprint of buildings from simple text descriptions at the earliest stages of design, when the potential for savings is greatest, has been unveiled by the University of Bath.
A new framework aims to provide the water sector with unified, practical guidance on what good asset information looks like and how companies can strengthen their data to support asset health and performance.
The Environment Agency (EA) has recruited human pilots to operate 33 drones equipped with laser mapping to locate and identify sites of illegally-dumped construction waste.
As AI becomes infrastructure rather than novelty, expectations will shift toward systems that support custom training, respect data boundaries, preserve authorship and operate where design decisions are actually made, writes Roderick Bates of Chaos.
A cave-inspired home has become the first 2-storey 3D printed reinforced concrete house to obtain government approval under Japan’s stringent seismic design requirements.
The UK and North America are leading the way in embracing data in buildings – but maximising its use as a tangible driver of performance remains a “glass ceiling”, according to new study.
Asset owners are increasingly turning to AI to improve building performance, compliance and safety, yet many are finding that technology alone is not enough. This article will explore how fragmented building information undermines AI’s potential and the foundational steps asset owners must take before AI can succeed.
Advances in cloud-based artificial intelligence are introducing new approaches to scaffolding safety inspection and compliance within construction site management.
Much of the talk around AI in construction has focused on anticipated productivity gains but arguably the greatest transformation could lie in how risk is identified, decisions are justified and responsibility is allocated, writes Mark Macaulay of Dentons.
