2020 could be called The Year Data Science Grew Up. Organizations of all kinds significantly ramped up their adoption of data-oriented applications and turned to data science to solve their problems—with varying degrees of success. In the process, data science was increasingly called upon to show its maturity and prove its real value, demonstrating that it actually worked in production.
The emergence of a deadly global pandemic threw a wrench into designs—not all of them good—that had grown over the course of years in ways that have become difficult to maintain, adjust, or improve upon today. COVID-19 required the rapid analysis and sharing of massive amounts of data. Predictive models were run and updated with a new urgency amid constantly changing conditions—with all the world judging their accuracy and integrity.