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You are here: Home / * PRESS / Events / Big Data For Intelligence Symposium

Big Data For Intelligence Symposium

March 14, 2015 By GISuser

Information Sharing and Analytics – Meeting the Nation’s Intelligence Challenge

big data

While tremendous progress has been made over the past decade in improving the nation’s abilities to collect, analyze and disseminate intelligence across the government enterprise, there is still much work to be done. The Intelligence Community (IC), with the cooperation of DoD, and the homeland security and law enforcement communities, have embarked on an ambitious plan to modernize our intelligence analytics capabilities to meet emerging future challenges and the requirements imposed by new intelligence operational domains. In addition, while new intelligence sources and products – from geospatial information to open source and social media – increase our capabilities, they also further burden our finite resources. A critical role in improving and facilitating intelligence operations will be played by new capabilities in big data and predictive analytics.

This outstanding symposium brings together the key players and organizations who are shaping the future intelligence analytics environment. They will examine emerging IC, DoD and government plans for modernizing intelligence analytics, the status and forecast for key programs and initiatives, and the emerging best-in-class tools, techniques and technologies for applying big data analytics to the intelligence mission.
What is the status and forecast for IC, DoD and Service intelligence plans?
What is the status and forecast for key intelligence and intelligence analytics programs and initiatives?
What roles will new capabilities in anticipatory, big data and predictive analytics play?
What are the emerging lessons learned in applying analytics to open source and social media?
These and many other critical questions will be examined during this outstanding two-day event.

Click here for more information, agenda and registration

Filed Under: Events, Top Press Tagged With: Big Data

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