High-Performance Analytics for
The ever-increasing volume, frequency and quality of unstructured data coming from high-resolution satellites, multi-modal sensors, social media, proprietary sources, and the internet pose significant challenges for today’s intelligence and defense organizations. Applications across the intelligence disciplines (e.g., SIGINT, GEOINT, MASINT, OSINT, FININT, MEDINT, etc.) are many and diverse, including information storage, search and retrieval; data analysis, predictive analytics and pattern matching; complex event processing and event correlation, and a wide variety of large-scale, high-performance digital signal processing. Successful programs must be able to:
- Capture and ingest data from a variety of sources, formats and access protocols, as quickly as it arrives
- Apply a series of analytical steps against this data such as tagging, filtering, transforming, and indexing using sophisticated algorithmic techniques including MapReduce and Machine Learning in a common, automated framework
- Store the raw data, processed data and intermediate data in a common, scalable storage framework that absolutely minimizes the movement of data as it is refined
- Deliver results via existing intermediary systems such as relational databases or ESBs, or directly to the analyst desktop or warfighter device
Ayrris™ / DEFENSE delivers automated multi-stage analytics pipelines to meet these challenges, turning raw data into actionable intelligence faster and more cost-effectively than ever before. Utilizing a combination of High-Performance Computing, Cloud Computing Architectures and Complex Analytics, Ayrris / DEFENSE moves the work to the data for faster access and massive scalability at a lower total cost of ownership (TCO) — allowing the customer to do more with less as missions grow and budgets shrink.