Engineering Scientist Awards

  Market Trends Published on:  29 Apr 2025, 5:19 pm The real estate lending landscape is changing fast with the advent of machine learning (ML) and artificial intelligence (AI). For decades, risk assessment in this space was manual, human judgment and basic statistical models. Although these did the job, they were slow, error-prone and failed to capture the full richness of market dynamics and borrower behaviour. Now machine learning is transforming the way lenders determine creditworthiness and deal with risk. Using enormous volumes of data and complex algorithms ML models are quicker, more accurate and extremely responsive at processing loan applications and observing real-time risk. As real estate markets get more complex and volatile these tools are becoming essential to staying competitive and sound lending. Limitations of Traditional Risk Assessment Methods Conventional risk assessment relied on underwriters looking at credit scores, debt-to-income ratios, income verific...

  As we think about a more sustainable future, geospatial technologies can – and will – help get us on that path. Matt Collins AEC Innovations Lidar & Geospatial Blogs Shutterstock   Share   Share   Tweet   Share   Email On April 22, we celebrated Earth Day, an annual recognition of the importance of maintaining our environment and a celebration of tools that are helping us live in a more sustainable way. It goes without saying that our society still has a ways to go in developing more sustainable practices, but recent innovations and shifts in thinking have at least shifted parts of our lives in the right direction. As we’ve talked about  plenty of times  over the years, geospatial technologies are often at the center of this environmental work, with the data collected with and processed by these tools helping set a baseline of where we are today and shape the plans for future change. From drone imagery being used to  monitor melting gla...