photo credit: PrincipalPost.com
TL;DR
- Mark Lezanic, a Florida-based wealth manager, integrates AI to help high-net-worth individuals manage complex portfolios and tax strategies.
- AI investment tools are transforming wealth management, with 80% of retail investors expected to use them by 2028.
- Machine Learning (ML) analyzes large financial datasets to optimize asset allocation and predict market movements.
- Natural Language Processing (NLP) connects AI insights to market news, client goals, and real-time sentiment data.
- Robotic Process Automation (RPA) automates routine tasks like reporting and data reconciliation, boosting efficiency.
- Generative AI enhances client communication by creating tailored proposals and portfolio insights.
- Real-world AI examples include MarketPsych (sentiment tracking), Salesforce Financial Cloud (client profiling), and SARGE by EY (compliance automation).