Business Decision-Making with Machine Learning

Pedro Cesar Lopes Gerum, PhD | Biography
Department of Operations and Supply Chain Management

Keywords: Machine-learning, AI, Data Analytics, Decision-making

Description

Making Data-Driven Decisions:

  • Generate insights from data;
  • Create accurate predictions;
  • Be confident on decisions that are backed-up by data.
Business Applications
  • Generate precise forecasting aligned with your risk level.
  • Know you customer-base (who your clients are and what do they want).
  • Detect fraud fast and reliably.
  • Define marketing targets (who should receive a promotion).
  • Create Operational Efficiencies (inventory management, work scheduling, logistics optimization)
 
Case Study

Large Financial Company

  • Detect credit-card application fraud;
    • Decrease in fraudulent applications once the system started to flag them more efficiently.
  • Forecast default probability;
    • Great increase in anticipating defaulting customers, leading to risk management decisions that both helped the company and the customer.
  • Manage company’s risk when providing credit.
    • Inclusion of machine-learning-based predictions when determining client’s credit limit.