Data science isn't just another job (sponsored by Anaconda)
The growing corporate excitement about machine learning and AI has led to a push to professionalize the practice of data science. Unfortunately, because enterprises tend to create technology silos, this threatens to destroy the most valuable aspect of data science itself. Peter Wang explores why data science shouldn’t be seen as merely another technical job within the business and why open source is such a critical aspect of innovation in the field of data science.
This session is sponsored by Anaconda.
What you'll learn
- Discover why data science shouldn't be considered just another technical job and why open source is a critical aspect of innovation in data science
Peter Wang is the cofounder and CTO of Anaconda, where he leads the product engineering team for the Anaconda platform and open source projects including Bokeh and Blaze. Peter’s been developing commercial scientific computing and visualization software for over 15 years and has software design and development experience across a broad variety of areas, including 3-D graphics, geophysics, financial risk modeling, large data simulation and visualization, and medical imaging. As a creator of the PyData conference, he also devotes time and energy to growing the Python data community by advocating, teaching, and speaking about Python at conferences worldwide. Peter holds a BA in physics from Cornell University.
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