AI has become a magical branding glitter to be sprinkled on anything from a toothbrush to a corporate strategy.
Unfortunately, many people are just getting exhausted by the whole thing, which means they are likely missing out on a genuine benefit.
AI has become a magical branding glitter to be sprinkled on anything from a toothbrush to a corporate strategy.
Unfortunately, many people are just getting exhausted by the whole thing, which means they are likely missing out on a genuine benefit.
The construction sector is famously conservative, expensive and prone to mind-blowing cost and program overruns. It is also a prime candidate for the use of Artificial Intelligence.
The term ‘Digital Twin’ has recently become popular in BIM & Digital Engineering circles. However, to have any value, the digital twin needs to contain relevant, easily accessible information. All the data generated during design and construction is not necessarily useful. This post examines both good and bad digital twins.
As a consultant in digital technology for design, engineering and construction, I have compiled my 10 top mistakes made in this field. These are not just observations or a critique of other people, but mistakes I’ve made myself.
To my mind, there has to be a better way of communicating and analysing a construction program than a gantt chart. Using visual analytics methods to present activities and other data such as cost over time offers improved program communication & understanding.
Technology is certainly part of the solution, but should not determine strategy alone. In other words, ‘because you can’ is not good enough- there has to be a specific and measurable benefit.
In this post, I illustrate this concept using a ‘digital value pyramid’
You must be logged in to post a comment.