We also talked about why it’s important to make changes at the company-wide level germany phone number list when striving for digital transformation here .
Difficulties in changing approaches to work
The transition from traditional methods to information modeling technologies could be a daunting task, especially for those who had spent decades
Aecom's Lillian Ho recalls how, early in her career, she would fold hundreds of paper drawings and experience the satisfaction of completing a task manually:
"Today, in the age of automation, you just press a button and everything happens in a matter of seconds. You don't feel the same satisfaction because you haven't spent the effort and time, it's completely different."
Panellists recognised that digitalisation is not just about using new tools, but also about creating a culture that supports and encourages learning.
“You need to engage people in this process. It’s important to understand that motivation comes from different sources. Some people find it easier to work on goals broken down into several subtasks, so breaking down digital transformation into smaller steps will help them to perceive it more easily. The key is to help people see the benefits of progress and not feel like they’re diving headfirst into the deep end,” Lewis Cullinane explained.
The speed of technological development today requires specialists to regularly improve their skills, and it is very important that all of them, from experienced engineers to young graduates, adhere to this practice.
It’s important to remember the concept of multi-channel learning, as people learn in different ways. Kirsty Childs shared a practical observation in this area: while some older professionals may opt for detailed step-by-step instructions in PDFs, younger workers may prefer short, punchy TikTok-style videos.
"We shouldn't try to put one size fits all," she said, emphasizing the importance of different learning preferences.
Ethical dilemma
Artificial intelligence is increasingly integrated into design and construction processes. This has raised concerns among some experts about ethics, as well as the impact of automation technologies and machine learning on project safety and the efficiency of task allocation.