From Open Source Data to Intelligence: Leveraging AI and Big Data for Insights on the Russia-Ukraine Conflict

AI and Big Data are transforming the military landscape by enabling the analysis of vast amounts of data, making predictions, and automating tasks. In this paper, we have utilized AI technologies to conduct a sentiment analysis of texts and news from Publicly Available Information (PAI) on the internet. We have proposed a combination of SQL and a vector-based database to process big data efficiently. Our approach involves using an NLP-based methodology for automatic content categorization. We have tested our approach and the results show that it is practical and effective in providing insightful analyses of conflict dynamics. We have chosen the ongoing Ukraine conflict as a context for our analysis. Our study demonstrates the potential of AI and Big Data in enhancing military strategy and fostering a deeper understanding of complex geopolitical situations. This paper was originally presented at the NATO Science and Technology Organization Symposium (ICMCIS) organized by the Information Systems Technology (IST) Panel, IST -205-RSY - the ICMCIS, held in Koblenz, Germany, 23–24 April 2024.