Workshop Topic: Data, Algorithms & Financial Decision-Making

This workshop explores how STEM-driven tools such as data analytics, machine learning, and quantitative modeling are transforming modern business and financial decision-making. Participants examine how data is used to identify trends, forecast outcomes, and optimize strategies across areas like investing, pricing, operations, and risk management.

The program bridges technical concepts with business application, breaking down how algorithms influence market behavior, portfolio construction, and corporate strategy. Participants engage with real-world case studies, learning how companies and financial institutions use data to gain competitive advantage and make faster, more informed decisions.

Key topics include predictive analytics, algorithmic decision-making, financial modeling, and risk assessment, with a focus on interpreting outputs and understanding limitations rather than just building models. The workshop also addresses practical considerations such as data quality, bias in algorithms, and the economic implications of automation.