This article details the creation of DisruptIQ, a system designed to predict supply chain disruptions. It leverages a fine-tuned DistilBERT model for natural language processing, Neo4j for graph database capabilities, and Apache Software Foundation tools for data processing. The system aims to identify potential risks within 15 seconds by analyzing raw news data. AI
IMPACT Demonstrates practical application of fine-tuned ML models for real-time risk assessment in supply chains.
RANK_REASON Article describes a specific tool/system built using ML and other technologies.
Read on Medium — fine-tuning tag →
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