Introduction

An Early Warning System (EWS) is an important asset in the arsenal of every Competitive Intelligence (CI) team. Often, CI teams spend hours searching for the right signals in content that is duplicated or not informative enough.

Identifying threats and opportunities requires in-depth analysis and sufficient evidence to support predictions. Our solution involved the creation of a powerful AI workflow that helped de-duplicate and summarize content for CI analysts.

Tasks that took days now took mere hours unlocking greater productivity and deeper focus.

Challenges

1. Information Overload: CI analysts spent excessive time reading through 50-80 similar articles daily
2. Content Duplication: Significant time wasted on reviewing redundant information from multiple sources
3. Manual Processing: Lack of automation in content aggregation and analysis
4. Signal Detection: Difficulty in identifying relevant threats and opportunities from large volumes of data

Objectives

• Implement AI-powered content summarization and ranking system
• Develop automated content de-duplication mechanisms
• Create an integrated portal for seamless data retrieval from knowledge management systems
• Reduce analysis time while maintaining quality of insights

Implementation

1

AI Model Development

Tools Used: CBOW Embeddings BM25 TF-IDF

• Text Processing: Implemented advanced NLP techniques using CBOW and embeddings
• Content Ranking: Developed BM25 ranking and TF-IDF based classification for content relevance
• Ontology Integration: Created domain-specific ontologies with SME input
• Threat Detection: Built custom algorithms for identifying competitive threats

2

Platform Integration

Tools Used: Dataiku SharePoint

• Workflow Automation: Leveraged Dataiku for end-to-end AI workflow management
• Content Integration: Connected SharePoint knowledge management system
• Data Pipeline: Created automated data ingestion and processing workflows
• User Interface: Developed intuitive portal for CI analysts

3

Content Processing

Tools Used: Custom AI NLP

• Summarization Engine: Implemented AI-powered content summarization
• Ranking System: Developed intelligent content ranking algorithms
• De-duplication: Created advanced content similarity detection
• Quality Controls: Established validation mechanisms with SME oversight

Results

• Efficiency Gain: Reduced required reading from 50-80 articles to 10-12 articles
• Time Savings: Analysis tasks that took days now completed in hours
• Better Insights: Improved threat and opportunity detection through AI assistance
• Seamless Integration: Successfully connected existing knowledge management systems

Conclusion