Build Wise

The life of a business analyst can be stressful. You start early and work late stitching together and cleaning up data. Your organization depends on you to make swift decisions, but there’s so much manual work involved as you pull data from various systems, spreadsheets, and e-mails and try to make it fit together. It is only with the miracle of caffeine that you can get your reports done on time. The data you’re responsible for is tough to get, tough to transform in a way that’s useful, tough to clean and reconcile, and tough to visualize for decision making.

Machine learning is a little bit like yoga: we all know what it is, we all know it’s good for us, but few of us understand how to actually do it. There’s a mystery surrounding machine learning that (even if our colleagues won’t admit) leaves many people in the built environment overwhelmed. Still, machine learning is more than just an industry buzzword at this point; it’s a necessity.

Imagine a built environment that is able to supply the infrastructure demands of the world’s population. It may sound like a dream, but it can be a reality. However, in order to get there, we must find ways to be more efficient: one process at a time.