In wealth management, firms are no longer just collecting data; they are using sophisticated AI and machine learning to analyze it, creating powerful predictive insights to guide an advisor’s ‘next-best-action’. 

In a new article from Citywire USA, Christian Davis, Associate Partner at JMAN Group, explains the reality behind the buzz. He details how bespoke ‘churn tools’ and predictive models are becoming essential for staying competitive, anticipating client needs and personalizing service at scale.

To stay ahead, Christian says, firms must build a nuanced data strategy. 

In this article you will learn: 

• Why a robust data strategy is the essential first step before you can effectively deploy AI and machine learning. 
• How predictive analytics can identify a client’s propensity to churn, accept a new fee structure or be interested in a cross-sell opportunity.
• The reason a one-size-fits-all AI product doesn’t exist for this challenge and why a bespoke approach is critical for success. 

Click below to read the full article.