A.I., Machine Learning, and the Built Environment
- Advanced
Explore the current state of Artificial Intelligence and Machine Learning (ML), with particular emphasis on their applications in the fields of Architecture, Landscape, Urbanism and Real Estate, especially in Proptech.
Learn the five rules about which types of problems Artificial Intelligence and Machine Learning are the right answer for tackling.
Understand the importance of data acquisition and parsing for machine learning training, as well as identify potential issues of bias and its ethical implications.
Harness the power of state-of-the-art LLMs by designing complex AI-based workflows.
Build your own organizational guide on the steps you can take immediately to ensure successful future implementations of Artificial Intelligence and Machine Learning in your projects.
Gain an understanding of AI & ML that allows you to better assess and compare products and services powered by algorithms.
Artificial Intelligence (AI) and its Machine Learning (ML) applications power the innovations of the world’s biggest companies. However, despite the hype around recent breakthroughs, AI has yet to change the day-to-day work of most real estate firms and professionals and remains an untapped opportunity for industry professionals.
This program will constitute a non-technical introduction to AI and ML, with a particular emphasis on their applications in the fields of Real Estate, Architecture, Landscape, and Urbanism. The program begins with a high-level overview of what AI & ML are and what types of problems they are particularly suited to solve, before challenging participants to develop, with peers, a novel application of machine learning.
This program is a small, cohort-based experience where participants learn live alongside fellow professionals from around the world.