Major Benefits
%
of respondents ranked “most useful, most economical, and speed” as a top 3 value of open-source software.
New Challenges
Title
%
feel unprepared or unsure about taking on rising challenges in the data science space, including government regulations, technological tools, and the increase in AI usage across roles.
Title
%
of respondents view security concerns around open source as the biggest technical challenge for AI adoption.
AI-Powered Workflows
Title
%
of data science practitioners are spending as much or more time on AI techniques this year compared to last year.
Title
%
are using AI for data cleaning, visualization, and analysis.
Title
%
are using AI for data cleaning, visualization, and analysis.
Title
%
are using AI for data cleaning, visualization, and analysis.
Title
%
of respondents said they’re building new tools with AI.
Title
%
conduct most of their AI or data science training on either local laptops or local desktops or workstations.
Top Areas of Eduction
Among data science, machine learning, and IT student tracks:
%
are learning Python.
%
are learning machine learning techniques and implementation.
%
are learning data visualization.
%
are learning probability and statistics.
Interested in learning more?
Read the full 7th Annual State of Data Science and AI report.