Defense organizations as well as other industries focusing on the autonomous system even in this time there is a rapid growth of computerized autonomy. Defense and other industries are impacted by these factors and require a distinct perspective on the potential for Machine learning. The introduction of autonomous and machine learning systems into defence organizations can produce automatic solutions for the prevailing problem of how to get more combat support out of fewer people. Some of the tasks currently performed by humans can be supported by machine learning or done better by autonomous systems. Data science is very important in a combat environment where information can help to make more useful strategies. With the help of data science, combat personnel and combat forces can observe logistics actions like ordering ammunition, food supply, medical treatment.
- Track 1-1 Data analysis for improving defense security
- Track 2-2 Cyber Security Analytics
- Track 3-3 Security activity analysis
- Track 4-4 data-driven processes
- Track 5-5 Risk analysis