OSINT is achieved by ingestion of video, image, audio, and text data from public domain data sources and analyze the ingested data to yield insights from across all data sources. The analysis is based upon machine learning and deep neural network algorithms which enable the system to learn from the data to achieve and refine recognitions of patterns, trends, and relationships. For example, in the case of a broadcast TV interview, OSINT intelligence can identify both the interviewer and interviewee (video analytics), the key topics of discussion (speech and text analytics), how viewers react in social media (text analytics), and automatically provides, say, viewers’ opinion clusters, trends, and sentiments.