Our collaboration with Reope
During the Autodesk University Conference in San Diego, our Norwegian partners at Reope presented an innovative new approach to data management and collection, designed to develop an artificial intelligence model for the AEC (Architecture, Engineering, and Construction) sector.
In his presentation, Joachim Viktil, CEO of Reope, examined the different types of data that can enhance design decisions, distinguishing between synthetic data, general real data, and unique company-specific data. This distinction is crucial because human judgment remains essential in the decision-making process related to design, especially when quick action is required. In this context, AI can provide valuable support, but it is vital to use it strategically, identifying tasks where it can truly add value and clearly defining the data to be employed.
Read the article: Why AI Needs Human Judgment For Better Design Decisions
At ATI Project, the growth and storage of project development data has been growing—and will continue to grow—almost exponentially in the coming years. Having a solid structure for data collection and analysis, even from different formats, allows and will allow us in the future to leverage unique real data collected from 2,400 projects managed over 11 years. These data allow us to analyze synthetic data and apply it to our new projects using artificial intelligence. The collaboration with Reope strengthens our approach, integrating expertise to optimize the design process and make the most of AI, thus increasing the value of our experience and enabling us to make more informed and creative decisions.
While generic data may be useful, it carries the risk of standardization. For this reason, in the long term, it will be the value of unique data that truly makes the difference in our sector.
We want to thank Reope and Joachim for mentioning ATI Project as a Case Study! We are very proud of this collaboration and excited for the new adventures that lie ahead together!
Watch the video of the presentation: The Importance of Human Judgment in AI-Driven Design