Big Data for Intelligence Symposium

Harnessing the Power of Advanced Analytics to Support Enhanced Decision Making


Alexandria, VA, United States

The 2019 Big Data for Intelligence Symposium will provide members of the Intelligence Community and the Department of Defense a forum to have an open discussion about the challenges and opportunities of turning vast amounts of raw data into actionable intelligence.

This Symposium will provide the Intelligence Community, US military commands, government agencies, members of academia, and technology industry leaders the opportunity to explore ways to improve the way we utilize big data for intelligence and the steps we must take in the future to improve this process and maintain our operational advantage.

Topics to be covered at the 2019 Symposium:

  • Transforming Big Data into an Intelligence Asset
  • Ensuring the DoD's Operational Advantage through Data Modernization
  • Securing the Cloud: Protecting Cloud-Based Data from Malicious Actors
  • Automating Data Analysis at the National Geospatial Intelligence Agency
  • Operationalizing Data for the Airman
  • Developing a More Transparent and Efficient Data Strategy for the FBI
  • Leveraging Cloud Computing at FEMA
  • The Future of Data Science

Why You Should Attend this Year's Symposium:

Our 7th Annual Big Data for Intelligence Symposium will provide members of the Intelligence Community and the Department of Defense a forum to have an open discussion about the challenges and opportunities of turning vast amounts of raw data into actionable intelligence. This Symposium will provide the Intelligence Community, US military commands, government agencies, members of academia, and technology industry leaders the opportunity to explore ways to improve the way we utilize big data for intelligence.

Evolutions in technology have exponentially improved our data collection capabilities; now, the focus has shifted to our ability to securely store, retrieve, share, and analyze our data to create actionable intelligence while maximizing efficiency and security. The 2019 Symposium will address the technologies, policies, and frameworks currently in place to turn our big data into intelligence, as well as the steps we must take in the future to improve this process and maintain our operational advantage.

Our team specializes in the extensive research and development of our Symposiums' content and focus areas, and we will assemble the most respected minds in data science as well as key-policy makers across military and civilian offices. Our non-partisan approach allows us to reach across all services and organizations to bring together a truly holistic group of decision makers and solution providers.

Exhibit & Sponsorship Opportunities

Showcase the latest technology offerings and today's most innovative solutions with exhibits, product demonstrations, and luncheon receptions for the event delegation.
Download the Big Data for Intelligence Symposium Prospectus


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2019 Confirmed Speakers:

  • Russell "Russ" Travers, Acting Director, National Counterterrorism Center
  • Dr. Brian Teeple, CTO and CDO, Department of Homeland Security
  • Thomas Sasala, Chief Data Officer, US Navy
  • MajGen Mark Wise, USMC, DCG, MCCDC & ADC, CD&I
  • Leonel Garciga, Director of Information Management, HQDA-DCS-G2
  • Maria Voreh, Chief Data Officer, FBI
Download Full agenda with all speakers and topics under the Agenda tab


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Would you like to receive an alert when the agenda changes?
Follow this event for updates on this issue and launch of next issue of the event!

Venue

Mary M. Gates Learning Center
701 N Fairfax St, 22314
Alexandria, VA, USA
Parking:
There is no parking at the Learning Center for delegates, and street parking is limited to 2 hours
Please Note: Parking is NO LONGER AVAILABLE at the former Crowne Plaza Hotel (901 N. Fairfax St., Alexandria, VA)

Hotel Rooms are available at a discounted rate at:
SHERATON SUITES OLD TOWN ALEXANDRIA
801 North St. Asaph Street, Alexandria, VA 22314
Hotel Discount Reservation Link
(Two walking blocks to venue)