Where will data science and audience insights take us in 2020?

This will make this area of data science even more commonplace not only among top tech companies, but also small and medium-sized businesses across various verticals. However, one aspect which is potentially underrated when looking at the big trends, in terms of the future of data science, is around language frameworks used to make the everyday data science tasks possible. Today, there are two major frameworks, R or Python (or in more pragmatic data science circles, both!). One is praised for having the most beautifully designed data wrangling syntax and plotting libraries, the other for its expressiveness and having the best deep learning libraries available today. However, both suffer from being relatively slow as they're higher level languages.