Open data science languages - R and Python - offer tremendous advantages over legacy, proprietary products like SAS and MATLAB. You can embrace modern innovation, attract a new generation of data scientists, and go from ad hoc analysis to production models in one platform that embraces the open source ecosystem.
But how does your enterprise make this transition without descending into anarchy? How can you embrace open source without entering into a quagmire of technical, process, and legal issues? How can you embrace R, Python, and their thousands of powerful analytic packages without their accompanying governance and legal risks? How do you see through the legacy vendor FUD and make open source work?
We're here to help - Continuum Analytics VP Products/CMO Michele Chambers and Sr. Data Scientist Christine Doig will help you embark on your enterprise's journey to open data science in this webinar.
You'll learn how to:
Drive collaboration and true data science teamwork through open data science
Mitigate legal risk through indemnification and appropriate package selection
Democratize innovation through broad access to open data science tools
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