Over the last few years, big data has been a hot topic in government. No longer just a buzzword, it has emerged as a real way to increase efficiencies, reduce waste, increase productivity and make smarter, data driven decisions. Organizations are already collecting large amount of data so the conversation has moved from "when" to "how," and more specifically, how do we store and effectively analyze this data. With the massive amount of information being created, collected and stored, organizations are overloaded with data and struggle to make sense of it. For all organizations, but particularly the intelligence and security communities, there is also the problem of finding the most critical and actionable items of intelligence in real-time, without digging through endless amounts of data.
Currently, sensor, computer and communication technologies are being strained beyond capacity to keep pace with current and future information management and analysis needs. To help organizations, new big data tools and technologies are being developed to enable organizations to analyze and share conclusions drawn from this seemingly overwhelming information load. These new tools and initiatives, such as predictive analytics and cloud computing, are making big data analytics possible, but not ever organization knows about it.
To help you and your agency learn what others are doing in this space and provide you with the most up-to-date research, TTC is sponsoring the Big Data Applications & Analytics for Intelligence, Defense &Homeland Security. This conference brings together government and industry experts who are shaping the direction of big data research and development for defense and homeland security. Keynote speakers include Gus Hunt, Chief Technology Officer, Central Intelligence Agency, Dr. Ann Carbonell, Director, Innovision Integration Office, NGA and Mr. Grant Schneider, Deputy Director/CIO, Information Management, DIA.
This is your opportunity to hear first hand about innovative new tools and technologies that are helping organizations better analyze and effectively use their data. Plus, learn about potential challenges and future opportunities organizations can expect. The conference is taking place April 24-25 in Washington D.C. You can learn more about the sessions and keynote speakers here. And if interested, click here to register.
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