7 Ways Fintechs Use Machine Learning to Outsmart the Competition:
Applications for Machine Learning in Finance
– Fraud prevention
– Risk management
– Investment predictions
– Customer service
– Digital assistants
– Marketing
– Network security
– Loan underwriting
– Algorithmic trading
– Process automation
– Document interpretation
– Content creation
– Trade settlements
– Money-laundering prevention
– Custom machine learning solutions
Machine Learning in Finance – Present and Future Applications
Machine Learning in Finance – Current Applications
- Portfolio Management
- Algorithmic Trading
- Fraud Detection
- Loan/Insurance Underwriting
Future Value of Machine Learning in Finance
- Customer Service
- Security 2.0
- Sentiment/News Analysis
- Sales/Recommendations of Financial Products
Relevant Companies
Below is a short list of organizations relating to the application areas above:
Portfolio Management – Betterment, Schwab Intelligent Portfolios
Algorithmic Trading – Renaissance Technologies, Walnut Algorithms
Fraud Detection – Kount, APEX Analytics
Loan / Insurance Underwriting – Compare.com
Customer Service – Kasisto
Security 2.0 – FaceFirst, Cognitec
Sentiment / News Analysis – Hearsay Social