Thank you for reading this blog! Some have asked for a concrete example of how and why high level momentum data regarding policy risk can deliver predictive analytics and unparalleled insight. Thanks for asking..... As it happens, today's momentum chart provides the perfect example to answer this question. Quick Recap As a quick recap for readers new to the blog, our patented process converts the language of the public policy process (unstructured data) into integers (struc

The first post in this series explained why and how Natural Language Processing (NLP) delivers superior mechanisms for analyzing language used in the policy process. You can find that post HERE. Today’s post focuses on structured data derived from that language. It is so exciting to be working on the frontier of innovation! One of the most thrilling parts of working with NLP-derived data is that it is entirely new data that no one has ever seen before. We are about to lear

We think intensively about training data challenges because we are creating new data that has never existed before

For the last year or so, we have been in “stealth mode,” building out our policy risk measurement technology and predictive analytics. Translating unstructured data (words) from the policy process into structured data (numbers) that can support predictive analytics and quantification has been quite a journey. Stay tuned for updates and reflections on that journey as the year progresses. The platform is currently available only to a small number of carefully selected Early A

Earlier this week, I had the honor of being included as a speaker at the IMF's first Artificial Intelligence and Machine Learning Symposium in Washington DC. It was an impressive and energizing to spend two days discussing with colleagues the innovation underway within the IMF, academia, and leading global companies. My prepared remarks appear below. They provide a high level overview of what we are working on at BCM. It is a pleasure and an honor to contribute to this impo

Disruption dominates our lives, globally. Depending on the context, this condition can be viewed as a positive or negative development. But what if disruption is not temporary? What if disruption becomes the defining dynamic of the next decade as the data revolution gains momentum? Among other things, a steady state of disruption amid significant simultaneous technological, geopolitical, economic, and regulatory change will hold significant implications for how we approach pr