Advancing Analytics with Cognitive Situational Understanding
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This program is presented by IBM.
U.S. ground forces handle a massive amount of information and data while working under unpredictable conditions. That means military intelligence analysts don’t always have a technologically reliable way to share and receive information. They must overcome both enterprise communication challenges, which force them to operate for periods with little to no access to data and information overload when connections are available.
Join us for an in-depth discussion with experts from CERDEC, TRADOC G2, U.S. Army and IBM. We’ll explore situational understanding from a strategic, operational and tactical point of view and review how situational understanding fits in with some of the U.S. military’s top priorities. We will discuss how machine learning and artificial intelligence can help military intelligence solve some of these major challenges, including the need for a comprehensive intelligence picture and a true sense of cognitive situational understanding.
- Define the components of situational understanding from a strategic, operational and tactical point of view.
- Associate situational understanding with the U.S. military’s top priorities.
- Differentiate ways that machine learning and artificial intelligence can be used to extract information for use on a common operating picture.
Appearing on this program with Francis Rose, Host of Government Matters Thought Leadership Network:
- Dr. Donald Reago, Director of Night Vision and Electronic Sensors Directorate, CERDEC
- Anthony Cerri, Director of Data Science, Models and Simulations, TRADOC G2
- Talon Konkel, Former Specialist, U.S. Army
- Brady Moore, Cognitive Computing for National Securtity, IBM
- Chris Sauceda, Senior Program Manager, IBM
This program was created in conjunction with the Government Matters Thought Leadership Network. Government employees were not compensated and do not endorse any companies associated with this program.