“With that in mind, my predictions for 2020 attempt to balance both aspects, with an emphasis on real value for companies, and not just ‘cool things’ for data science teams.
- Data science and AI roles continue the trend towards specialization
- Executive understanding of data science and AI becomes more important
- End-to-end model management becomes the best practice where production is required
- Data science and AI ethics continue to gain momentum and are starting to form into a distinct discipline
- The convergence of tools causes confusion
- Efforts to ‘democratize’ and ‘automate’ data science and AI redouble, with parties that over-promise failing
- Architecture at the Edge and Fog starts to enter the mainstream
- The hype cycle and deluge of definitions are shifting
- Competition enters the AI chip market
- It is still easier to teach data science and AI and sell tools than to actually make it work in practice”
https://thenextweb.com/syndication/2019/12/10/10-predictions-for-data-science-and-ai-in-2020/