AI and Alternative Data Reshape Financial Forecasting
Financial forecasting has evolved from a slow, institution-dominated process to a dynamic field powered by artificial intelligence and alternative data. Where traditional methods relied on historical trends and aggregated surveys, modern tools now parse satellite imagery, social sentiment, and other unconventional datasets.
Machine learning algorithms detect patterns invisible to human analysts, delivering real-time insights that reduce costs and improve accuracy. This paradigm shift has democratized access to sophisticated economic analysis, giving investors and professionals unprecedented competitive edges.