This news is classified in: Defense Cyber Defense / IT
Sep 12, 2019
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.
Forecasts by Deployment Mode (Cloud-based, On-premise), by Component (Hardware, Software, Services), by End-user (Army, Navy, Air Force, Cyber Commands), by Security Type (Network Security, Endpoint Security, Application Security, Cloud-based Security, Data Security), by Solutions (Threat Intelligence and Response Management, Identity and Access Management (IAM), Intrusion Detection and Prevention Systems (IDPS), Security Information and Event Management (SIEM), Firewall, Other) AND Regional and Leading National Market Analysis PLUS Analysis of Leading Companies AND COVID-19 Impact and Recovery Pattern Analysis
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