Abstract: In just a few short years, businesses have gone from questioning whether "data science" was a fad, to forming data science groups as quickly as they can hire. These data science groups commonly face a wide swath of problems in integrating with existing business practices and datasets. Furthermore, the accelerating developments in machine learning and deep learning can lead to expectations gaps with management. In this talk, Peter provides an overview "State of the Union" that looks at a few broad themes as data science begins revolutionizing the field of predictive analytics within enterprises, and dives deep into a few topics such as data management, deep learning, and democratization of prediction.
Bio: Peter has a B.A. in Physics from Cornell University, and has been developing commercial scientific computing and visualization software for over 15 years. He has software design and development experience across a broad variety of areas, including 3D graphics, geophysics, financial risk modeling, large data simulation and visualization, and medical imaging.Peter’s interests in the fundamentals of vector computing and interactive, large-scale visualization led him to co-founding Continuum Analytics. As CTO, Peter is the technology visionary and leads the product engineering team for the Anaconda platform as well as open source projects including Bokeh and Blaze. 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.