Strengthening Strategic Awareness and Analysis With Data Analytics & Data Fusion

Case Study

International Security Assessment
and Analytics Capabilities for Army
Geospatial Center

The Customer

And Their Challenge

The Army Geospatial Center (AGC) provides geospatial information, tools, and support to the Army and other Department of Defense (DoD) components, as well as federal agencies and international partners. They play a crucial role in collecting, analyzing, and disseminating geospatial intelligence to support military operations, mission planning, and decision-making.

AGC and other key decision-makers faced challenges in effectively integrating Publicly Accessible Information (PAl), Artificial Intelligence (Al) and Natural Language Processing (NLP) with cognitive technologies to analyze threats and regional security cooperation environments.

Their legacy technologies lacked the capability to efficiently ingest and interpret Publicly Accessible Information (PAI) as Big Data. Specifically, US Military and Special Operation Forces (SOF) planners and decision makers lacked a tool to evaluate the critical characteristics of adversarial activities using open- source Information. The ability to compile and analyze available information, thereby bolstering operational planning to counter such activities, was deemed indispensable for strategic planning.

The Solution

ISAAC-ISR Prototype

In response to the pressing challenges faced by the Army Geospatial Center (AGC), i3solutions embarked on a transformative endeavor to develop the International Security Assessment and Analytics Capability – Intelligence, Surveillance & Reconnaissance (ISAAC-ISR) prototype. This pioneering solution represents a paradigm shift in AGC’s approach to intelligence analysis, offering a comprehensive framework to tackle the complexities of modern warfare and global security. ISAAC provides near real time ISR to detect, observe, analyze, and assess the civil environment, which is key to bringing stability to partnered nations while also exploiting weaknesses in competitors and adversaries.

ISAAC-ISR is a holistic system designed to address the multifaceted challenges confronting AGC. At its core, ISAAC-ISR aims to bridge the gap between the overwhelming volume of Publicly Accessible Information (PAI) and actionable intelligence. By leveraging cutting-edge technologies such as Machine Learning (ML), Natural Language Processing (NLP), geospatial analysis, and statistical modeling, i3solutions crafted a solution that empowers AGC to extract valuable insights from large amounts of disparate data.

Employing state-of-the-art data collection, feature extraction, and visualization solutions, i3solutions developed and trained over 20 machine learning models.

These models are designed to gather and organize information sourced from hundreds of thousands of news articles, files, documents, and both public and private databases. Various NLP tools then perform sentiment analysis, language translation and frequency analysis needed to calculate the stability index of various countries.

ISAAC uses a diverse array of outputs to enhance decision support, encompassing geospatial displays, timelines, network graphs, question and answer search, and ‘baseball cards’. These ‘baseball cards’ integrate multiple data sources into a unified display, facilitating more comprehensive analysis and informed decision making.

The significance of ISAAC-ISR extends beyond mere data processing; it represents a strategic advantage for AGC in navigating the complexities of modern warfare. Real-time Intelligence, Surveillance & Reconnaissance (ISR) capabilities facilitate rapid responses to emerging threats, enhancing situational awareness and operational effectiveness. Predictive analysis enabled by Artificial Intelligence (Al) enables AGC to anticipate future scenarios, facilitating proactive strategy formulation and threat mitigation.

Technologies

Used in the Solution

Generative Al and Large Language Models (LLMs) aid in deciphering textual data from diverse sources. Generative Al simulates potential threat scenarios, providing AGC with foresight into future challenges. LLM, on the other hand, delves into the depths of language nuances, extracting meaningful insights from the vast textual corpus. This deep contextual analysis, coupled with nachine learning and Natural Language Processing (NLP), empowers AGC to uncover hidden patterns and trends within a vast amount of data.

Generative Al and Large Language Models (LLMs) aid in deciphering textual data from diverse sources. Generative Al simulates potential threat scenarios, providing AGC with foresight into future challenges. LLM, on the other hand, delves into the depths of language nuances, extracting meaningful insights from the vast textual corpus. This deep contextual analysis, coupled with nachine learning and Natural Language Processing (NLP), empowers AGC to uncover hidden patterns and trends within a vast amount of data.

Generative Al and Large Language Models (LLMs) aid in deciphering textual data from diverse sources. Generative Al simulates potential threat scenarios, providing AGC with foresight into future challenges. LLM, on the other hand, delves into the depths of language nuances, extracting meaningful insights from the vast textual corpus. This deep contextual analysis, coupled with nachine learning and Natural Language Processing (NLP), empowers AGC to uncover hidden patterns and trends within a vast amount of data.

Generative Al and Large Language Models (LLMs) aid in deciphering textual data from diverse sources. Generative Al simulates potential threat scenarios, providing AGC with foresight into future challenges. LLM, on the other hand, delves into the depths of language nuances, extracting meaningful insights from the vast textual corpus. This deep contextual analysis, coupled with nachine learning and Natural Language Processing (NLP), empowers AGC to uncover hidden patterns and trends within a vast amount of data.

Generative Al and Large Language Models (LLMs) aid in deciphering textual data from diverse sources. Generative Al simulates potential threat scenarios, providing AGC with foresight into future challenges. LLM, on the other hand, delves into the depths of language nuances, extracting meaningful insights from the vast textual corpus. This deep contextual analysis, coupled with nachine learning and Natural Language Processing (NLP), empowers AGC to uncover hidden patterns and trends within a vast amount of data.

Generative Al and Large Language Models (LLMs) aid in deciphering textual data from diverse sources. Generative Al simulates potential threat scenarios, providing AGC with foresight into future challenges. LLM, on the other hand, delves into the depths of language nuances, extracting meaningful insights from the vast textual corpus. This deep contextual analysis, coupled with nachine learning and Natural Language Processing (NLP), empowers AGC to uncover hidden patterns and trends within a vast amount of data.

Generative Al and Large Language Models (LLMs) aid in deciphering textual data from diverse sources. Generative Al simulates potential threat scenarios, providing AGC with foresight into future challenges. LLM, on the other hand, delves into the depths of language nuances, extracting meaningful insights from the vast textual corpus. This deep contextual analysis, coupled with nachine learning and Natural Language Processing (NLP), empowers AGC to uncover hidden patterns and trends within a vast amount of data.

Generative Al and Large Language Models (LLMs) aid in deciphering textual data from diverse sources. Generative Al simulates potential threat scenarios, providing AGC with foresight into future challenges. LLM, on the other hand, delves into the depths of language nuances, extracting meaningful insights from the vast textual corpus. This deep contextual analysis, coupled with nachine learning and Natural Language Processing (NLP), empowers AGC to uncover hidden patterns and trends within a vast amount of data.

Measurable Benefits
and Business Impact

Enhanced Strategic Awareness

By enhancing assessment capabilities, ISAAC gives AGC a clearer understanding of the dynamics, capabilities, and intentions of rival Great Powers, enabling better-informed strategic decisions. This heightened clarity allows the AGC to anticipate potential challenges, capitalize on emerging opportunities, and effectively shape its policies and responses in the dynamic arena of global geopolitics.

Advanced Analytic Capabilities

ISAAC employs advanced analytical tools, including artificial intelligence and machine learning algorithms, to process and analyze complex data sets rapidly. These tools enable AGC analysts to identify patterns, correlations, and emerging trends that might not be apparent through traditional methods.

Innovative Geospatial Analysis

i3solutions’ intervention at AGC led to significant advancements in geospatial analysis, facilitated by the utilization of Esri’s sophisticated tools. This enables AGC to visualize and comprehend complex data sets, providing a clearer understanding of spatial relationships and patterns. By laying the groundwork for informed decision-making, AGC can strategically leverage geographical insights to optimize various aspects of their operations, from resource allocation to risk assessment.

Comprehensive Data Integration

ISAAC aggregates and synthesizes vast amounts of data from various sources through the utilization of advanced LLM. This enables AGC to transform vast amounts of raw textual data into actionable intelligence, extracting valuable insights and trends that were previously hidden. By enhancing data interpretation processes, AGC can make more informed decisions and respond more effectively to evolving situations, ultimately improving operational efficiency and agility.

Real-time Monitoring

ISAAC provides real-time monitoring of key developments and events related to Great Power Competition, enabling AGC to react swiftly to emerging threats or opportunities. This proactive stance ensures that AGC remains agile and adaptive in its decision-making process.