Construction will become more systems based: as an industry we are fragmented and siloed, this will help us break out from these and collaborate with shared data..
Aggregating all of these data sets provides more insight into the context in which architects design.At Bryden Wood we want to broaden the conversation about this topic and get more people in the industry talking about these issues..
Exploring the Advantages of Automation in Construction with PRiSM.The full power and benefits of automation must be recognised.We aren’t only talking about the creation of more ideas and possible solutions in significantly less time, or an increase in metrics leading to more informed decision making overall.
It also means that more people can become involved in the decision about which solution is best for a particular site or project.This increase in participation leads to far greater benefits for the project than just progressing in a very linear way, resulting in one solution produced by a single design team.
On top of this, having the ability to generate a data model and undertake significant amounts of simulation, allows aspects of a design to be tested much more rigorously than by traditional means.
Together, all of these factors culminate in the delivery of the best possible buildings.. Education, Construction Technology and the Future of Construction.There are other cooling technologies (e.g.
some developed for the defunct space shuttle programme), but these are currently 100x the cost.This rise in density is driving DCs to be all about the utilities, with processing space representing a very small percentage of each development.. With both a rapidly evolving technological marketplace and long project lead times, the same dilemma between customers and infrastructure builders about the timings of decision making is amplified..
The developer needs decisions as early as possible to design, secure power, step through regulatory hurdles and source long-lead components; while the customers want to be able to wait as long as possible to read the market.Maintaining optionality, speed and cost effectiveness is a problem requiring new solutions.. On top of these challenges there are further known unknowns in the picture: the impact of the move from training AI to the distribution of AI Quantum computing..