I know, I know. Of course data science isn’t dead, and only an idiot would say it is.
However … it does seem like data science has lost a little bit of its buzz over the past couple of years, as deep learning and AI became the shiny new things everyone obsesses over. Now people talk about how to get into AI instead of what skills a data scientist needs. Analysts and the Harvard Business Review talk about the the shortage of AI experts instead of data scientists.
But while AI is attracting all the attention, data scientists are keeping at it somewhat out of the spotlight. They’re certainly incorporating AI models at times, but it turns out that tried and true tools like SQL and visualization still have some utility left in them.
Here are three posts that highlight the continued importance of data science in a world dominated by talk about AI:
How data science helps power worldwide delivery of Netflix content (Netflix Tech Blog):
Netflix is a pretty well-known data science firm, and even has been an early adopter of deep learning for fairly novel tasks such as dynamically optimizing pictures to meet available bandwidth. This post explains how the company uses data science to predict the popularity of content and ensure its CDN is caching the right content at the right place at the right time.