Discover What #OpenDataScienceMeans
Hilary is leading the charge at Fast Forward Labs and helping organizations accelerate their data science and machine intelligence capabilities. At Accel Partners, she advises companies, large and small, on their data strategy. Previously, she was the Chief Scientist at bitly and also co-founded HackNY, co-hosted DataGotham and is am a member of NYCResistor.
VP, Principal Analyst, Forrester Research
Brian is a VP and Principle Analyst at Forrester Research where he covers big data, analytics architecture, data management, and strategy. He also leads the emerging technology and technology innovation research teams. His research provides practical advice to architects and technology strategists seeking to embrace the business technology (BT) agenda. Brian authors key Forrester reports on technology trends for Enterprise Architecture Professionals. He has helped numerous clients develop their technology watchlists, evolve their architecture practices, and develop strategic approaches to hot topics like big data, business intelligence, and data management. Brian holds an electrical engineering degree from Texas A&M.
Sr. Director, Data & Analytics, GE
Girish uses data science and advanced analytics to help solve business problems relating to sales, marketing, field services, global operations and finance at GE. Over the last 18 years, he has worked in numerous consulting and aerospace roles routinely using statistics, applied math, A.I. and reliability. Girish holds a Ph.D. in Aeronautics and Astronautics from Purdue University (2013) focusing on stochastics and optimization and an M.S. in Mechanical Engineering from R.I.T. (1998) focusing on chaotic dynamical systems. He loves long-distance running, playing competitive tennis and following English Premier League soccer.
Co-Founder and CTO, Recursion Pharmaceuticals
Blake earned a BS in electrical engineering from Rice University. He followed it with a year researching and building real-time navigation software for surgical procedures at the M.E.Mueller Institute in Bern, Switzerland. In 2005, he co-founded an e-commerce company, BuildASign.com, which currently employs over 350 in Austin and brought in over $80 million in revenue in 2015. After moving to an advisory role in the business, Blake completed a PhD in bioinformatics at UT Austin in the Marcotte Lab, using machine learning to exploit new experimental techniques in rapidly mapping protein complexes. He loves sunshine, mountains, and snow.
Travis has a Ph.D. from the Mayo Clinic and B.S. and M.S. degrees in Mathematics and Electrical Engineering from Brigham Young University. Travis has worked extensively with Python for numerical and scientific programming, most notably as the primary developer of the NumPy package and as a founding contributor of the SciPy package, since 1997. He is also the author of the definitive Guide to NumPy.
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.
Business Track Highlights
This track is focused on business leaders looking for strategic insights into the process of managing Open Data Science within their organizations: how do software, systems, people and projects come together in new and powerful ways when Open Data Science is added to the mix? Hear from experts relating their organization’s journey with best practices, the latest technology and opportunities that are waiting on the horizon.
Technology Track Highlights
These sessions will focus on the technological enablers of Open Data Science and will discuss topics such as architectures for large scale distributed computing, how to leverage GPUs for deep learning and strategies for successfully building high impact data science tools within an organization using the Anaconda ecosystem. While these aren’t tutorials, do expect to see code examples demonstrating the power of Open Data Science. These sessions will inspire practitioners and data science team leaders as to the opportunities Anaconda presents.
Get ready for mind-blowing sessions on Open Data Science and cutting-edge insider information. Check back often, as we’ll keep updating the schedule!
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