ML in production is one of the most obvious ways that data science organizations create value in business. However, these models are at the very end of a long story of how quantitative research changes and enhances organizations. In this talk I will discuss how I have found DS organization to be truly transformative outside of ML in the loop.
Technologist and Data Scientist driven to create software that people use, find useful, and pleasant. From programming through architecture, from green field to maintenance, software is interesting technologically, socially, and intellectually. I enjoy contributing to the process, either through leadership or individual effort, of creating software that is deployed joyfully and is as bug free as possible
