[dividend_yield], [post_pandemic], [supply_shock], [home_cooking], [crossborder_trade] Even though the bears on long duration have lost some momentum, [inflation expectation] has continued […]
[blockchain], [defi], [dlt], [hash_rate], [digital_currency] Fear of inflation was also translated into cryptocurrencies’ rally. SZ-NLP engine, identified the causality between […]
[post_pandemic], [economic_productivity] The COVID-19 pandemic has changed the way consumers buy, learn, work and bank hence has stimulated an acceleration […]
From prediction to decision making
In order to move to generate relevant predictive signals and guide decision making, best AI systems need to integrate another level of knowledge: beyond statistical measures, beyond causality, the ability to analyse and determine the level of stability of a dynamical system as well as the capacity to identify the existence of equilibrium or “attractors”.
From Correlation to Causality
Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation; yet the fact that two quantities are …