Data as the new commodity: AI. Sustainability and Financial Innovation
summary
Argues data replaces equations as the core commodity for solving sustainability and finance problems, citing 17 UN SDGs and 193 countries plus the Paris Agreement article 21c (2015). Demonstrates human risk bias with a $900 sure vs $1,000 at 90% chance gamble and contrasts that with algorithmic rationality. Shows a Toronto tool that scores firms from textual criteria into numbers, introduces emission chromodynamics for benchmarked CO2 comparisons, and uses large language models to infer directed acyclic graphs for causal AI.
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chapters (9)
- 0:00Welcome
- 2:17Keynote: Data science history
- 6:55Shift to data-driven innovation
- 10:11Textual data in finance
- 13:08Psychology vs sustainability data
- 16:41Finance flows and climate stability
- 18:28Benchmarking emissions
- 22:17AI for climate solutions
- 25:40Q&A: Causality & econometrics
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