GCS Launches Big Data Lecture Series; Hosts Obama Strategist
MISSOULA, MONTANA, 18 February 2014 – GCS, a geoanalytics firm, has launched the Big Data Lecture Series Sponsored by GCS, an annual event that will feature thought leaders in Big Data technologies from a variety of industries. The inaugural lecture, “Big Data in Electoral Politics and Beyond: Revealing the Science of Political Science,” will be presented by Dan Wagner, CEO of Civis Analytics and strategist in the 2012 Obama re-election campaign.
This first Big Data Lecture will be held at 7 pm MST on February 24, 2014, at the University of Montana’s Montana Theatre in Missoula. The lecture is free and open to the public.
“Dan Wagner and his team revolutionized electoral politics in 2012 by applying Big Data analytical processes in the Obama re-election campaign,” said Dr. Alex Philp, President of GCS. “Dan’s company, Civis Analytics, now applies Big Data technology to solve challenges facing organizations in government, corporations, academia and politics. This is a story that needs to be heard.”
In 2012, Dan Wagner and his team of Big Data scientists changed politics forever by developing and using advanced Big Data analytics to support the Obama re-election efforts. Rather than focus solely on large demographic blocks, Wagner developed new analytical tools that mined massive electoral and social media data sets to identify likely Obama voters. They pioneered Big Data methods and techniques to determine individual voter preference at a level of detail never seen before in a national campaign, feeding predictive models to determine voter outcome.
“Dan Wagner’s talk is the first in what will become an annual event in Missoula where GCS strives to inform students, faculty and the public of the potential for Big Data analytics to help organizations gain new insights into their operations,” said Philp. “As the world becomes more interconnected through the electronic devices we use every day, the importance of Big Data processing will only grow.”
GCS is an acknowledged worldwide leader in location-based Big Data analytical processing, pioneering the application of streaming analytics to extract meaningful information from Big Data in motion. GCS has recently announced that it will integrate its geospatial streaming analytical capabilities to develop services on top of the IBM Watson cognitive computing engine.
Big Data Lecture Series Sponsored by GCS
“Big Data in Electoral Politics and Beyond”
Monday, February 24, 2014, at 7 pm
GCS is pleased to introduce the inaugural event in the Big Data Lecture Series Sponsored by GCS. Dan Wagner, CEO and Founder of Civis Analytics will present “Big Data in Electoral Politics and Beyond: Revealing the Science of Political Science,” on February 24 at the University of Montana.
In 2012, Dan Wagner and his team of Big Data scientists revolutionized electoral politics by applying Big Data technology to the Obama re-election campaign. Rather than focus solely on large demographic blocks, Wagner developed new analytical tools that mined massive electoral and social media data sets to identify likely Obama voters. They pioneered Big Data methods and techniques to determine individual voter preference at a level of detail never seen before in a national campaign, feeding predictive models to determine voter outcome.
Today, Dan Wagner’s company, Civis Analytics, is applying many of these same complex processes to glean valuable insights from Big Data. Please join us as he describes how Big Data analytics are being deployed to benefit government, corporations, academia and politics.
“Big Data in Electoral Politics and Beyond” is free and open to the public on a first come, first seated basis on Monday, February 24, 2014. Doors open at 6:30 pm for the lecture which begins at 7 pm in the University of Montana’s Montana Theatre.
The Big Data Lecture Series is proudly sponsored by GCS, an internationally recognized leader in Big Data geoanalytical solutions, headquartered in Missoula.
For more information, contact:
University of Montana
MISSOULA, MONTANA, 11 February 2014 – GCS and Sharpe Engineering, two leading developers of Big Data applications, are teaming to build and deliver next-generation streaming analytics solutions based upon the IBM InfoSphere Streams platform. The GCS – Sharpe team will focus upon real-time analytical processing (RTAP) applications in key verticals including healthcare, energy, retail, cyber-security, and government.
“In the Big Data arena, GCS focuses on exploiting the location component of streaming data with geospatial analytics, and Sharpe Engineering is the leader in applying ultra-low-latency streaming analytics,” said GCS President Alex Philp, PhD. “By integrating our expertise, we will create enterprise systems that apply geospatial and temporal analytics to streaming data for the extraction of meaningful business intelligence.”
“Sharpe Engineering and GCS have proven track records in creating custom Big Data solutions on InfoSphere Streams,” said Jim Sharpe, President of Sharpe Engineering Inc. “We will combine our capabilities in geospatial processing and low-latency analytics to perform predictive analysis on high-volume, high-velocity data sets in ways not previously thought possible.”
GCS delivers highly customized solutions that communicate meaningful geographic information and enhance workflow optimization. GCS clients come from a broad spectrum of industry sectors with a common need: streamlined access to business insights distilled from massive, complex data sets. Technical expertise and collaborative client relationships allow the GCS team to design the powerful, elegant solutions needed to maximize productivity. GCS systems are crafted at the convergence of cloud, analytics, and mobility to ensure the entire enterprise can access answers everywhere, all the time.
Sharpe Engineering is a software engineering company based in Crested Butte, Colo., that provides consulting services related to complex low-latency Big Data analytics. With extensive experience in energy and healthcare, Sharpe focuses on the effective combination of technologies and methods to address challenges related to data-in-motion that are beyond the capabilities of traditional approaches. The firm specializes in ultra-low-latency stream processing to analyze a wide range of explicit contextual information and produce actionable insights in real time.
“Healthcare, energy, retail and cyber-security have unique Big Data challenges,” said Sharpe. “Together, our two companies have the industry-specific knowledge and solutions-development capabilities to meet their needs.”
GCS is a geoanalytics company delivering award-winning solutions through cloud, mobile and analytical network infrastructure. With over 200 years of technical expertise, GCS converts your Big Data into Smart Data through customer-driven, innovative applications. GCS customers gain strategic value through increased productivity, efficiency and profitability, optimizing mission-critical business processes. For more than a decade, the GCS team of experts has delivered smart solutions for a diverse array of public and private organizations – from start-ups to multinational corporations – helping our clients make location information actionable, meaningful and valuable.
To learn more about GCS, please contact Mike Beltz, Vice President of Sales and Marketing, mbeltz@YourDataSmarter.com, or by calling (406) 747-8393.
About Sharpe Engineering Inc.
Sharpe Engineering provides consulting services related to low latency big data analytics for situational awareness and resource management. In order to derive actionable insight, simply having the data and the platform is not sufficient. Choosing wisely for how, when, and where they are used is also critically important. Our solutions integrate cognitive computing elements with the stream processing platform and other technologies to produce "better knowledge faster".