Information sharing and information overload challenges continue to dominate operational and acquisition planning within the Department of Defense, Intelligence, Homeland Security, and Law Enforcement communities. Increasingly, government agencies are looking for the latest tools and capabilities in big data and predictive analytics to provide the means to analyze, exploit and draw conclusions sourced from the seemingly overwhelming inputs fro...

By 2020, an estimated 30-50 billion devices will be connected to the internet. Each of these devices will collect and communicate massive amounts of data, and as these devices become more sophisticated they are incorporating the ability to analyze the data and plan, manage and make intelligent decisions autonomously about sharing that information via embedded machine-to-machine communications with other internet-capable devices. DoD, to some e...

Information sharing and information overload challenges continue to dominate operational and acquisition planning within the Department of Defense, Intelligence, Homeland Security, and Law Enforcement communities. Increasingly, government agencies are looking for the latest tools and capabilities in big data and predictive analytics to provide the means to analyze, exploit and draw conclusions sourced from the seemingly overwhelming inputs fro...

Over 20 Top Experts from USAF AF/A2D, OUSD/AT&L, INSCOM, HQ USA,NSA, Army G-3/5/7 PO, DoD CIO, FBI, DHS/FEMA, NIST, NGA, DISA, WRTAC, Deloitte, IBM, Raytheon, NetApp, DigitalGlobe, Resilient, Elder Research, L-3 Data Tactics, Femme Comp Inc., and IDA Discussing: • Emerging DOD, IC and Government Intelligence Plans and Needs • Status and Forecast of Key DoD, IC, and Government Intelligence Programs and Initiatives • Tools and...

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 futu...

Every day Federal Government planners and operators face the real-world need to take the massive amounts of current, past and potential future data and make risk-cognitive predictions about the future. This is the essence of the mission of Federal Government, whether involved in communications, finance, energy, defense, healthcare, homeland security, law enforcement or intelligence operations. And while predictive analytics is not new, burgeon...

By 2020, an estimated 30-50 billion devices will be connected to the internet. Each of these devices will collect and communicate massive amounts of data, and as these devices become more sophisticated they are incorporating the ability to analyze the data and plan, manage and make intelligent decisions autonomously about sharing that information via embedded machine-to-machine communications with other internet-capable devices. DoD, to some e...

Information sharing and information overload challenges continue to dominate operational and acquisition planning within the Department of Defense, Intelligence, Homeland Security, and Law Enforcement communities. Increasingly, government agencies are looking for the latest tools and capabilities in big data and predictive analytics to provide the means to analyze, exploit and share conclusions drawn from the seemingly overwhelming inputs fro...

In March 2012, the White House announced funding for a large new research and development initiative aimed at extracting and exploiting the “knowledge and insights from large and complex collections of digital data to help solve some of the Nation’s most pressing challenges.” This is in addition to numerous ongoing “Big Data” programs that have been initiated across the Federal Government, including Homeland Secur...

Big Data for Defense, Intelligence, and Homeland Security Today’s Warfighter has access to an ever-increasing number of sensors, imagers, internet artifacts, open source and other sophisticated collection devices and mechanisms, to the point that a major challenge has become how to sift through this massive amount of information to find the most critical and actionable items of intelligence. Increasingly, this must be accomplished in nea...