5 Data Science Trends in the Next 5 Years

This field is large enough that it's a bit impossible to deeply cover all the things that can happen in the coming 5 years for it. Important trends that I foresee but won't cover here are specific applications of Data Science in unique domains, integrating of low-code/no-code tools in the tech stack, and other narrowly-focused insights. This is going to be a focus on the general, broad themes of change I see coming to stay in the next half-decade. This isn't an exhaustive list, but it does cover a lot of the issues that are currently faced in practice today: The title of the Data Scientist has been a big issue for many in the industry mainly because of the ambiguity around what the role entails and also what the company needs. Although I believe the job descriptions have largely become clearer and concise, the job profiles are just starting to become normalized.