Panel: Data & AI-Driven ESG Reporting
summary
Panel shows a working data+AI pipeline that scrapes corporate CSR PDFs, extracts themes with NLP, classifies 100 million news records to produce a rolling ESG signal every ~15 minutes, and links entities with graph analysis; implementation uses Delta Lake and MLflow on Databricks plus Azure components and reusable notebooks. Uploaders note only 10 of the top 50 disclosures are numeric, and a synthetic portfolio test finds holdings tied to poor ESG show two times higher risk.
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chapters (4)
- 0:00Start
- 4:57What Ecg Means and Why Is It Important
- 37:24Is esg Correlated with Market Volatility
- 41:58What Is the Methodology behind Development Developing Esg Report
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