Enstoa News

Gabriel Salazar for Construction Executive: 'Explore New Solutions With Generative Design'

Gabriel Salazar for Construction Executive: 'Explore New Solutions With Generative Design'

One of the biggest challenges faced in the design of capital projects may, at first, seem deceptively simple: to understand the needs of the owners and design a building around those parameters. How that understanding is translated into the design, however, is critical—and a major factor in the success of the project. Generative design allows designers to take advantage of the latest programming technologies to review vast amounts of design iterations in a short period of time—all while still adhering to the client’s objectives.

Niall Reynolds For Construction Executive: 'Improve Capital Project Outcomes With Emerging Technology'

Niall Reynolds For Construction Executive: 'Improve Capital Project Outcomes With Emerging Technology'

Capital projects are time-consuming, labour-intensive and expensive. New technologies can do a lot to simplify or eliminate many tasks—from redundant paperwork to manual processes in all stages (including initiation, planning, executing, monitoring and control, closing and operating). The most valuable emerging technologies are those that help address the basic need to balance the project triangle of scope, schedule and cost.

'Bolster Sustainability Using Emerging Technology': Niall Reynolds for Construction Executive

'Bolster Sustainability Using Emerging Technology': Niall Reynolds for Construction Executive

The development of new technologies in construction is increasing the viability of using alternative energy sources and other resource-efficient processes. Innovative ideas, like a drone monitoring system or a connected network of sensors, can provide data that will help us to reduce global energy waste. Our construction economist and project controls expert, Niall Reynolds, talks about the possibilities that this sector can reach thanks to tools like the Internet of Things, Artificial Intelligence and Machine Learning.