We designed the building, it went out to tender and is currently in construction.

We have never, for example, had to use a Machine Learning solution, because we’ve never had a problem that it’s been the right technology for..Nor do we think that the future of robotics in construction is in building robots to do jobs that we, or they, shouldn’t be doing in the first place.

Technology is not fairy dust that you sprinkle onto a problem to sort it out.You need to assess the entire process and engage actively with technology to see where – or whether – it will add value.You also have to be open to the very real possibility that its use may fundamentally alter that process for the better.As an industry, we have to get better at creating and sharing data, information and learning.

At the moment, we just don’t do that well enough.We have the computing and processing infrastructure to do amazing things with data in the built environment sector, but we have to create it, share it – and use it.. We’re big believers in open source.

We use open source tools and technology in our work and we have built and shared some of our design automation work in the same way, so that other architects and designers can explore, understand, benefit – and hopefully build on – the work that we do.. Whilst technology can bring huge benefits to the construction industry, we also have to be aware of ethical questions around how data is collected and used.

We all know that when some of the big tech companies created big data and laid the foundations for many technical advances, they gathered that data in some questionable ways.so that manufacturers fully understand each component’s specifications.. Reduce on-site labour.

and potential errors by assembling large elements off-site..Shorten delivery times.

through repeatable processes.. Lincoln’s background - ranging from carpentry to senior roles in construction innovation - has convinced him that detailed, standard designs can be scaled quickly and flexibly, making data centre production more predictable..The AI Factor: Handling new workloads and higher power densities.