Development Services Group

Client Overview

Development Services Group, Inc. (DSG) is a professional services firm that provides research, technical assistance, and program support to federal agencies, including the Department of State.

Project Background

Contract: Department of State Contract 19AQMM18F2561
Duration: 2018-2025 (8 years)

Initial Engagement

Slova Applications was initially hired for database administration expertise with a specific mandate to design and implement a schema for storing news content that referenced terrorist incidents globally. This database solution needed to be robust, scalable, and optimized for complex queries related to terrorism data analysis.

Expanded Scope

As the project progressed, our role expanded significantly to include:

Data Pipeline Development

We designed and built comprehensive data pipelines that:

• Ingested news content from multiple international sources
• Processed and normalized the data for consistent analysis
• Implemented validation procedures to ensure data integrity
• Created efficient storage solutions that balanced performance with accessibility

Machine Learning Classification System

Slova developed a sophisticated machine learning classifier that:

• Screened incoming content for relevance to terrorist incidents
• Applied natural language processing to analyze context and geocode incident reports
• Evaluated content against established inclusion criteria
• Reduced manual review time by automatically filtering irrelevant content
• Improved data quality by ensuring consistent application of inclusion standards

AI-Powered Question Answering

We created an AI chatbot that:

• Used OpenAI’s LLM models to answer natural language questions about global terrorism
• Integrated with the published dataset to provide accurate, data-driven responses
• Enabled intuitive information access for non-technical users
• Synthesized complex data points across multiple sources

Technologies Used

• Database Technologies: AWS Aurora MySQL RDS and MS SQL Server
• Data Processing: ETL pipelines written in Python for handling diverse content sources
• Machine Learning: Natural language processing using gensim and Spacy, with classification algorithms from scikit-learn
• AI Integration: OpenAI’s LLM models for conversational intelligence
• Quality Assurance: Automated testing and validation frameworks

Outcomes

• Designed and maintained a database schema that evolved with project requirements over 8 years
• Built data pipelines that processed thousands of news items daily with minimal downtime
• Developed a machine learning system that achieved >90% accuracy in content classification
• Created an AI chatbot that provided natural language access to terrorism data
• Reduced manual review workload while maintaining data quality standards
• Created documentation and knowledge transfer processes for long-term sustainability

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