Phoenix Operations GroupPhoenix Operations Group develops mission-critical capabilities for the Department of Defense, the Intelligence Community, and the Scientific Community. We then encourage our customers to share the capabilities so they can be leveraged across the community. Broadly, these capabilities are implemented with Machine Learning techniques, Cloud Computing platforms, and Big Data technologies.
The statistical methods and techniques for Machine Learning have existed for decades, but only recently has technology advanced enough to truly implement ML and AI solutions. Phoenix believes ML and AI can be used to augment human analysts in their critical mission operations.
Battlefield Intelligence Analytics that augment warfighters in the fusion of multiple INTs such as Signals Intelligence, Electronic Intelligence, and Geospatial Intelligence. As the human user interacts with the analytics, the analytics make better and better predictions of enemy activities.
OSINT Recommender Engine that analyzes publicly available information and makes tailored recommendations to analysts based on learned attributes and previous actions. This greatly augments human analysts, allowing them to address large volumes of data.
Amazon Web Services and Microsoft Azure have become dominant platforms in our industry because of their ability to rapidly, securely and cost-effectively host mission capabilities. Phoenix uses these platforms (and their classified equivalents) for both new development and lift-and-shift initiatives.
Data Science Platform that bootstraps an environment with commonly used data science tools (e.g. Jupyter Notebook) and a data engineering sandbox for basic data ingress/persistence/egress. Out-of-the-box capabilities include sentiment analysis, text classification and natural language processing.
DevSecOps Pipeline that performs automated build, harden, test, and deploy operations using Containers in accordance with the DoD guidance for DevSecOps. As this pipeline operates in the cloud, it can also be executed using on-premise solutions.
Where appropriate, Phoenix believes in using parallelizable distributed technologies on commodity resources that can be scaled up to meet enterprise-level needs. Technologies such as Hadoop, Kafka, Spark and HBase are commonly used as infrastructure for our Big Data mission capabilities.
Distributed Data Fabric enables geographically dispersed systems (nodes) to be interconnected and viewed as a single database, event-bus and file system. Beyond the open-source technologies, this capablity includes custom data synchronization and discovery services.
Condition Based Maintenance analytics help organizations assess fleet readiness and support mission planning activities. CBM analytics must operate over large volumes of historic and real-time data to predict current and future maintenance needs.
If you have questions or are interested in working with Phoenix Operations Group, call us today at 443-252-2151 or contact us for more information.
