Data Science as a Service Model
Paul Temple, CEO of Advanced Onion
Brad Morris, Founder of GraphSpan
Chris Grijalva, Director for Physical Security and Law Enforcement at Defense Manpower Data Center (DMDC)
Sean Hoffman, Senior Application Architect at Gulf Coast Enterprises
Philip J. Murphy, Ph.D, Director of META Lab and Assistant Professor Middlebury Institute of International Studies (MIIS) at Monterey and Author of upcoming book, "Understanding Dark Networks"
Ellick Chan, Ph.D, Senior Associate, Technology Development at Exponent
By 2018 there will be a significant shortage of Data Scientists in all industries. This panel is open to the interpretation of its members, and will cover the full spectrum of issues from a variety of perspectives in one of the highest demanded job markets today.
The IoT is driving the need for scientific data discovery, analytics and data use. In the last two years alone the amount of data created has exceeded all data before then, combined, leading to a need for scientific data discovery and reshaping the exact way data science is defined.
This panel will discuss best-of-breed practices for using data science approaches, query language techniques and data analytics to capitalize on data discovery and data modeling for a service.