Today, machine learning has come to play an integral role in many phases of the financial ecosystem, from approving loans, to managing assets, to assessing risks.Yet, few technically-savvy professionals have an accurate view of just how many ways machine learning finds its way into their daily financial lives.
Below are examples of machine learning being put to use actively today. Bear in mind that some of these applications leverage multiple AI approaches — not exclusively machine learning:
1) Loan / Insurance Underwriting
2) Portfolio Management
3) Fraud Detection & Prevention
4) Sentiment / News Analysis
5) Sales / Recommendations of Financial Products
