As technology continues to reshape traditional practices, financial institutions are confronted with the question: Is incorporating machine learning (ML) worth the potential challenges it brings? From enhanced predictive analytics to improved risk management, the promises of machine learning are enticing.
According to Havard University, ML can analyze historical data to understand the demand, supply, and inventory, then forecast the future's demand, supply, and inventory. ML can forecast the client's budgets and several other economic indicators, thus helping the business improve its performance.