DATA RELEVANCY CAPABILITIES DATA VISUALIZATION CAPABILITIES DATA INTERACTIVITY CAPABILITES ABI Cloud Framework (CAFKA) ABI Cloud Framework (CAFKA) ABI Cloud Framework (CAFKA) CJMTK Geospatial Appliance ABI Cloud Framework (Cloud Analytics Platform) Cyber.
Download ReportTranscript DATA RELEVANCY CAPABILITIES DATA VISUALIZATION CAPABILITIES DATA INTERACTIVITY CAPABILITES ABI Cloud Framework (CAFKA) ABI Cloud Framework (CAFKA) ABI Cloud Framework (CAFKA) CJMTK Geospatial Appliance ABI Cloud Framework (Cloud Analytics Platform) Cyber.
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DATA RELEVANCY
CAPABILITIES
National Production Workstation
DATA VISUALIZATION
CAPABILITIES
ABI Cloud Framework (Cloud Analytics Platform)
DATA INTERACTIVITY
CAPABILITES
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RELEVANCY
In a world inundated with data, asking the right questions and finding the right data is critical to your decision advantage.
The vision for the future of analysis revolves around the implementation of Activity Based Intelligence (ABI) and Object Based Production (OBP). To achieve this vision, Cloud Analytic Framework for Knowledge Management and ABI or CAFKA, has been developed as a prototype knowledge management system for analysts. It provides multi-INT support for knowledge management and analysis and employs analytic models that allow analysts to create complex, agent-based models that run and auto-populate in the background. In addition, there is an object management and entity resolution capability that brings sensor objects and observations into an OBP environment.
RELEVANCY
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RELEVANCY
The CJMTK Geospatial Appliance (CGA) by Northrop Grumman is a high-performance server that provides fast and easy access to maps built from National Geospatial-Intelligence Agency (NGA) data products and commercial data sets. Pre-built maps and services are on the CGA as well as raw data formats for you and your users to build custom maps.
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Features of the CGA Application Ready Data
: Ready for immediate use by multiple concurrent client applications
Content Management Tools
: A collection of tools that turn your data management tasks into • • • • a few clicks.
Data Provisioning:
A suite of tools to enable end users to identify and extract an area of interest in order to enable disconnected operations.
Online Documentation
: Comprehensive help that includes getting started tips, and sample map documents and layer files.
Locator Server:
Utilizing NGA Geonames Gazetteer for location queries by geographic name.
FalconView Indexing
: Out of the box support to maintain and manage FalconView 4.2.1, 4.1.x and 3.x indexes
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RELEVANCY
• • • New paradigms for MIDB production created within NPW’s map based production and visualization capabilities Basis is synergies between DIA (MIDB) and NGA (GVS, OMAR). NPW has an embedded ArcGIS client and a Google Maps client. MIDB leverages geospatial services from NGA’s GVS and OMAR and GVS leverages MIDB data for its own services. NPW uses GVS ArcGIS services (basemaps, elevation services, geometry services, locator services), GVS’ Google Globe, and WMS layers from OMAR (imagery overlays).
MIDB Producers can use the NPW map to create and save MIDB data (facilities, units, equipment, individuals, events) with minimal form inputs. Producers can also bring in and overlay WMS imagery (e.g. NGA’s OMAR) over the basemaps and then use that overlay to support map based production as they then know how current the imagery is. During production, there are tools in NPW that support creating an entity on the map, moving an entity, deleting an entity, associating multiple entities together, creating a facility boundary by tracing (drawing a polygon) from the imagery overlay including math algorithms to re-center based on the boundary. Elevation is automatically obtained via NGA services and stored with the entity and terrain profile tools assist with EOB production (finding the emitter).
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RELEVANCY
The Challenge
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.
Our Solution
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
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What is User Experience?
Bringing user-cent ered design int o t he product development lifecycle.
The benefits of UX have been widely proven but many customers are not aware that they can introduce a UX team into the already existing processes of their project. The steps of the UX process serve as framework that is implemented alongside the development lifecycle and gives teams and customers a way to quantitatively and qualitatively track and evaluate product performance and usability as it relates to the real people who use and are affected by the product or system.
RELEVANCY
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VISUALIZATION
Sometimes the answer you are looking for is hiding in plain sight. To be useful, data needs to be clearly seen and understood.
The vision for the future of analysis revolves around the implementation of Activity Based Intelligence (ABI) and Object Based Production (OBP). To achieve this vision, Cloud Analytic Framework for Knowledge Management and ABI or CAFKA, has been developed as a prototype knowledge management system for analysts. It provides multi-INT support for knowledge management and analysis and employs analytic models that allow analysts to create complex, agent-based models that run and auto-populate in the background. In addition, there is an object management and entity resolution capability that brings sensor objects and observations into an OBP environment.
VISUALIZE
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• • • • • Cost-competitive big-data appliance (baseline system is 12 nodes) Provides use-case driven analytics for customer segments, including cyber Ingest speeds of up to 30 TB/day while simultaneously providing fast query-response and MapReduce analytic times Provides metrics & monitoring, health & status, and optimization of appliance performance at both hardware and software levels Rapid insertion of new analytics, leveraging open-source software, big-data standards, and an analytic services integration module
VISUALIZE
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VISUALIZE
Cyber Sit uat ional Awareness (CSA)
Globally-scalable Visualizat ion and Analyt ics for Cyberspace
The Northrop Grumman CSA Tool Suite is a set of web-based tools developed for visualizing, sharing and understanding cyber datasets. User-defined maps of public and private IP-space visually correlate cyber events and datasets to enhance understanding of critical behavior on global and enterprise-scale networks. The maps allow users to visualize IP-space in multiple ways simultaneously and then overlay knowledge of network events, status, or functions on these maps. Additionally, a modular, analytics framework is included that makes “big data” analytic techniques available to a broad user base by both reducing analytic development complexity and automating analytic result visualization.
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M*INT Studio is an all-source, all-intelligence visualization and exploitation tool. Through highly configurable adapters, data is normalized for multi perspective display and manipulation. These views increase opera-tor focus and comprehension. Many types of data are available to provide added context including processed sensor data, sensor and platform meta-data, blue force data and operator annotations.
VISUALIZE
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• • • • Algorithms assess behavior of Maritime targets for possibly threatening activities, and provide automated alerts to Warfighters in real time Automatically assesses all targets in real time at every sensor update, using radar and/or SIGINT feeds Greatly increases threat detection probability, and decreases false-alarm rate, compared with unaided operator assessment Enables greatly increased reaction time/distance for Naval assets to deal with tactical threats from surface attackers, such as Fast-Attack Craft (FAC), and therefore increases survivability of Naval assets
VISUALIZE
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VISUALIZE
The Challenge
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.
Our Solution
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
Main Menu >
What is User Experience?
Bringing user-cent ered design int o t he product development lifecycle.
The benefits of UX have been widely proven but many customers are not aware that they can introduce a UX team into the already existing processes of their project. The steps of the UX process serve as framework that is implemented alongside the development lifecycle and gives teams and customers a way to quantitatively and qualitatively track and evaluate product performance and usability as it relates to the real people who use and are affected by the product or system.
VISUALIZE
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INTERACTIVITY
Mission success relies on a comprehensive, data-driven and interactive user experience.
The vision for the future of analysis revolves around the implementation of Activity Based Intelligence (ABI) and Object Based Production (OBP). To achieve this vision, Cloud Analytic Framework for Knowledge Management and ABI or CAFKA, has been developed as a prototype knowledge management system for analysts. It provides multi-INT support for knowledge management and analysis and employs analytic models that allow analysts to create complex, agent-based models that run and auto-populate in the background. In addition, there is an object management and entity resolution capability that brings sensor objects and observations into an OBP environment.
INTERACTIVITY
Main Menu >
INTERACTIVITY
Cyber Sit uat ional Awareness (CSA)
Globally-scalable Visualizat ion and Analyt ics for Cyberspace
The Northrop Grumman CSA Tool Suite is a set of web-based tools developed for visualizing, sharing and understanding cyber datasets. User-defined maps of public and private IP-space visually correlate cyber events and datasets to enhance understanding of critical behavior on global and enterprise-scale networks. The maps allow users to visualize IP-space in multiple ways simultaneously and then overlay knowledge of network events, status, or functions on these maps. Additionally, a modular, analytics framework is included that makes “big data” analytic techniques available to a broad user base by both reducing analytic development complexity and automating analytic result visualization.
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INTERACTIVITY
• • • Make a Map integrates into NGA’s Map of the World (MoW) Production Viewer, a set of configurable cartographic management services that delivers easy access to GEOINT data Provides a single interface for NGA personnel and NSGs through MoW, for producing on demand maps and charts from existing cartographic services.
Provides a custom Cartographic Production Framework (CPF) that handles incoming requests from MoW and routes requests to the • • appropriate backend cartographic services (e.g. ePODS, and CWS). Developed a custom authorization framework that integrates with GEOAxIS Identity Management using IC/DoD enterprise attributes to provide role management and flexibility in capabilities exposed to NSG community Make a Map and CPF leverages open source software to limit additional licensing cost to NGA and external users.
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INTERACTIVITY
The Challenge
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.
Our Solution
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
Main Menu >
What is User Experience?
Bringing user-cent ered design int o t he product development lifecycle.
The benefits of UX have been widely proven but many customers are not aware that they can introduce a UX team into the already existing processes of their project. The steps of the UX process serve as framework that is implemented alongside the development lifecycle and gives teams and customers a way to quantitatively and qualitatively track and evaluate product performance and usability as it relates to the real people who use and are affected by the product or system.