More than 8 years ago. I made some predictions on this blog on the possible direction of technology within design & construction.
To put in in context, at that time: Australia didn’t have a national broadband network. iPhones still had a 3.5mm headphone jack.
In this post, I’ve given myself a score against each of my predictions.
Ask Copilot or ChatGPT ‘how to get started with AI?’ and you’ll get surprising results.
This post examines the challenges in getting started with AI and describes how I’ve tackled it by starting off with simple, off-the-shelf tools and progressing to more sophisticated methods
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.
You must be logged in to post a comment.