A drafting studio at Bell Labs, 1942. Source “The future is already here - it’s just not evenly distributed.” - William Gibson As we approach the finish line for 2017, I continue to reflect on the state of the architecture and construction industry as I have in years past. As we contend with global issues … Continue reading Reflecting on the Future of Work
When we work with our clients to create data strategies or custom software, we often find ourselves facilitating and prioritizing a multitude of viewpoints, debating skepticism, and building consensus. In this context we have often found that understanding one variable, more than others, is central to navigating the complexities of stakeholder positions: professional bias. Biases … Continue reading Industry Transformation and the Challenge of Professional Bias
Earlier this summer, I previewed some of our research on machine learning which focused on potential applications for the building industry. I am now pleased to announce that these explorations have been released as a new extension to our LunchBox tools for Grasshopper: LunchBoxML. LunchBoxML exposes new open source components built on a popular machine … Continue reading Machine Learning with LunchBoxML
Data literacy comes about from a much deeper investment directed towards growing knowledge and expertise. Skill sets in statistical analysis or the ability to prepare meaningful visual representations of data are practical examples of being literate in data. Cultivating data literacy can also be a much higher barrier to overcome due to entrenched corporate politics, competing business interests and resistance from decision-makers to implement analytical recommendations that challenge the status quo. In short: changing people is harder than purchasing new tools.
