Activity-Based Intelligence Training Bootcamp | ABI Training Workshop

Activity-Based Intelligence Training, Activity-Based Intelligence (ABI)  Training Bootcamp, Hands-on Workshop

Activity-Based Intelligence Training, learn about Activity-Based Intelligence solution and gain the expertise that is changing how the Intelligence Community planning, reviewing, processing and analyzing critical intelligence data in real-time from sources such as ground, airborne, ocean, space-based electro-optical, infrared, hyper-spectral sensors and others. Activity-Based Intelligence (ABI) Training  bootcamp covers all aspects of intelligence-oriented data analysis approaches for efficient, real-time data analysis. Learn about Activity-Based Intelligence (ABI) tools, principles, processes and skills for data analysis and more.

Activity Based Intelligence (ABI) has been defined and sponsored by the U.S. Office of the Director for National Intelligence and has been embraced by the major U.S. intelligence agencies and their intelligence activities such as:

• Air Force Intelligence
• Department of the Treasury
• Army Intelligence
• Drug Enforcement Administration
• Central Intelligence Agency
• Federal Bureau of Investigation
• Coast Guard Intelligence
• Marine Corps Intelligence
• Defense Intelligence Agency
• National Geospatial-Intelligence Agency
• Department of Energy
• National Reconnaissance Office
• Department of Homeland Security
• National Security Agency
• Department of State
• Navy Intelligence

Computer-assisted problem solving techniques and methodologies such as as ABI can impact intelligence analysis and make ie more efficient and timeliness since too much big data being collected for human analyst and sometimes it is impossible to see the big picture. We need to understand and take action upon historical, current and anticipated activities involving national or global security.

The intelligence extracted from ABI make it easier for analysts to identify potential adversaries and their targets. By organizing and collecting large volumes of collected data, relevant patterns can be recognized and eventual suspicious behaviors can be acted on before a possible threat is imminent. The intelligence communities have a stunning  amount of critical data at their disposal collected and stored each second, however when analyzed correctly, this analytical data set can help accelerate mission outcomes to address emerging security threats, and  quality of the analysis in real time.

Seeing the Big Picture Inside Activity Based Intelligence – Looking for the big picture

Inside Activity Based Intelligence, we as analysts are looking for any interesting connections, in any types of data that constantly being produced and updated.

Activity Based Intelligence (ABI) refers to a method that allows varied types of data, almost like searching for a needle in a haystack even when we don’t know that we are looking for a needle or that we will find it in a particular haystack, very interesting.

ABI, A paradigm shift in analyzing data, points to a multi-INT approach to activity and transactional data analysis to resolve unknown-unknowns, develop intelligence, and drive collection:

• Analyze large, diverse, known and unknown data streams in real time
• Understand principles behind Intelligence Gathering
• What is Activity Based Intelligence?
• How does Activity Based Intelligence work?
• ABI Uniqueness
• Analyze ABI tools and techniques
• Learn about Patterns of Life (PoL) analysis and ABI techniques applied
• Wide-area motion imagery (WAMI), Esri’s use of ArcGIS and MARINA
• Targeted Approach based on the Analysis of an individual Target’s Movements and Communications
• Collection of data of all sorts
• Use of a continuous influx of data and understanding how unconventional adversary networks operate
• Patterns of interaction and activity in a particular area or population
• Events, movements, measurements and transactions
• Audio, video, infrared, radar, multispectral imagery, and information from Signals, Human and Measurement and Signature Intelligence
• Geotags and metadata classification
• Geo-reference to Discover
• Integrate before Exploitation
• Sequence Neutrality
• Data Neutrality
• Why data is considered equally valuable, no matter its source
• Why classified intelligence is not prioritized over open source data
• Discovering Unknown
• Behaviors & Signatures
• Known Behaviors & Signatures
• Object-Based Production
• Activity-Based Intelligence
• Signature-Based Search
• Structured Observables
• I&W, Monitoring, Targeting
• Known Locations and Targets
• Unknown Locations & Targets

ABI Training Course Objectives

Upon completion of this course, the attendees will be able to:

• Define what ABI methodology and approach is
• Identify the motivating factors behind ABI
• Explain value proposition of ABI
• Define the key features of ABI
• List the functional requirements of ABI
• List the four pillars of ABI
• Compare and contrast ABI, big data, Patterns of Life (PoL) and data mining and analysis methods
• Define Extracting, Transforming, and Loading (ETL) operations
• List ABI technology capabilities
• Describe the important scenarios for ABI applied to intelligence or defense mission
• Practice using the ABI methodology

Who Should Attend

Project and Program Managers, Intelligence analysts, Business Developers, Defense Contractors, System Engineers,  Software Developers or anyone other U.S. citizen who is interested in gaining key concepts and principles involved in Activity-Based Intelligence and their applications and impact to intelligence and defense missions.

Course Outline

Introduction to Activity-Based Intelligence (ABI)

• What is Activity-Based Intelligence (ABI)
• Activity-Based Intelligence (ABI) value proposition
• History of ABI
• Why ABI
• Pillars of the ABI Approach
• What is Patterns of Life (PoL)
• Multi-INT approach to activity and transactional data analysis
• How to resolve unknown-unknowns develop intelligence
• Data Discovery Patterns
• Data Discovery Strategies
• Integrated intelligence and information-sharing
• Geo-spatial intelligence (GEOINT)
• Human Domain Analytics (HDA)
• Open-source information
• HUMINT or classified intelligence
• Intelligence Taxonomy and Ontology
• Principals of Structured Observation Management (SOM)
• Principals of Object Based Production (OBP)
• Role of Flexible Content Management (FCMS)
• The ABI multi-Intelligence (multi-INT) approach
• TrueFoundation of ABI
• Unknown-Unknow Location vs. Behavior
• Value of knowledge management

Process Flow for Intelligence

• Key Intelligence Questions
• Understanding
• Living Knowledge
• Objects and Activities
• Associations and Attributes
• Foundation
• Georeference to Discover
• Advanced Analytics
• Knowledge Capture

Why ABI?

• ABI as an intelligence tool
• Application to the vast wash of metadata and internet transactions Scaling with data
• ABI came out of the realization that the
• Scheduled, targeted, stove-piped analysis and collection paradigm
• Discover entities without signatures.
• Analyzing vs. discovering data
• Improve collection efficiency & effectiveness.
• Volume, Velocity, Variety, Veracity
• Activity-­based GEOINT vs, target-based GEOINT
• Monitor activity
• Analyze entities
• Anticipate behavior and patterns
• ABI and “pattern of life” analysis

ABI Key Elements

• Collect, characterize and locate activities and transactions
• Identify and locate actors and entities conducting the activities and transactions
• Identify and locate networks of actors
• Understand the relationships between networks
• Develop patterns of life
• Geo-reference to discover
• Sensor neutrality
• Sequence neutrality

Activity-Based Intelligence Methodology

• Intelligence collection cycle
• Analysis, production and operations process cycle
• Establishing the ABI Methodology
• ABI as an analysis methodology
• ABI vs. Big Data
• Methodology in Action
• ABI methodology
• Analytic processes applied to situational analysis
• Sequential and pillars
• Georeference to discover
• Spatially and temporally indexed data
• Integrate before exploitation
• Data (sensor) neutrality
• Sequence neutrality

Intelligence Discipline of Activity-based Intelligence (ABI)

• Focusing on the activity and transactions
• Geospatial domain actions
• Cyber, social, financial and commercial domains
• Big data, across all domains, as the substance for ABI analysis
• Focused intelligence analysis, within critical timelines
• Data and Knowledge Management for ABI
• Information about activities, transactions and entities
• Using activity data (and its related metadata)
• Why associating data is vital to ABI analytics

Activity-based Intelligence (ABI) Applied

• ABI and intelligence analysis
• Irregular warfare, counterterrorism, counterinsurgency and counter-weapons of mass destruction
• Geospatial analysis
• Human network analysis
• GIS Visualization
• Data forecasting and modeling
• Spatiotemporal analysis
• Tabular visualization
• Pivot tables
• Link analysis strategies
• Quantitative estimation
• Analytic modeling
• Ontology design
• Graph analytics

ABI and Effective Tactical Data Science

• Intelligence production cycle
• Core fundamentals of Gathering and Acquiring Data
• Geospatial data
• Extract, Transform and Load (ETL) Operations on data
• Geospatial Transformations
• Textual Transformations vs. Imagery Transformations
• Big Data and Artificial Intelligence: Intelligence Matters
• CRUD operations
• Difference between REST and CRUD
• Data objects vs. complex objects abstractions
• Example of MongoDB CRUD Operations
• Geospatial analysis methods
• Human network analysis methods
• Data forecasting and modeling
• Spatiotemporal analysis
• Tabular visualization
• Pivot tables
• Link analysis strategies
• Quantitative estimation
• Analytic modeling

Workshops and Hands-on Exercises