The 8th Annual Automated ISR and Battle Management Symposium encourages members of the DoD, Intelligence Community, military services, and critical organizations to come together to discuss advances in technology and systems to collect and process actionable intelligence in support of decision makers and warfighters. With potential enemies continually improving their aerial denial capabilities, the US will have to develop and field ISR capabilities able to collect in degraded and denied areas at the speed of need. This program will facilitate discussions aimed at enhancing ISR capabilities and emphasizing the significance of battle management systems to fight and win on the battlefields of today and the future.
This educational symposium will bring together senior Intelligence officials, military leaders, academia, and solution providers to ensure ISR resources are being utilized as effectively and efficiently as possible in support of mission success.
As America's potential enemies continue to close the technological gap the demand for actionable intelligence only continues to grow. Advances in enemy anti-air and other area denial capabilities reduce the effectiveness of current intelligence collection methods used by US Forces across the globe. Emerging technologies, such as AI and machine learning, will enable enhanced and more efficient information collection as well as reduce the time needed by the analyst to turn the information into intelligence. With the rise of Great Power Competition, the need for getting intelligence quickly to decision makers will be paramount in maintaining US military supremacy.
This symposium will feature senior level discussions about advances in modern technology to help collect actionable intelligence better support the Commanders and the Warfighters. With the global threat environment continuing to evolve the need for clear and actionable intelligence collection only continues to grow. This symposium will allow for open and honest dialogue to solve the nation's most difficult challenges surrounding the efficiency of ISR capabilities.
Date: Jan 21, 2020