The explosion of data, both open source (e.g., social media, blogs, chats, audio and video) and customer source, requires constant innovation in analytic methodology to keep up with the expanding volume. Through analysis, mission understanding, and applied intelligence tradecraft, the rapidly changing data needs to be fused to determine trends and potential threats.
Paradigm integrates smart, targeted analysis services (e.g., alerting, trending, and temporal analysis) into our workflows, moving us one step closer to predicting future events. Our unique, automated ingestion process eliminates manual indexing and tagging, allowing the user to immediately dive into their value add analytics and assessment responsibilities.
Paradigm’s architecture contains the following major components.
- Ingestion: Assemble data, such as intelligence reports, open source news, user generated data, videos, podcasts and social media from customer provided or approved/vetted data vendors in English and native language.
- Analysis: Perform analytics on the data (e.g., entity extraction, location, relationship identification, name/entity resolution, face detection and indexing in English and native language).
- Web Services: Display the results of the analytics and user requested analytics to a user interface or other processing system through standard web services.