WEBINAR

Thursday, April 23rd, at 1:00 PM ET / 10:00 AM PT

AI models are only as strong as the data behind them. Are you feeding models with verified financial signals—or fragmented records and proxies? And as you scale AI across your business, are you confident it’s driving the right client decisions?

Wealth data is foundational to growth in financial services—but getting it right is far more complex than most teams realize. Fragmented records, ambiguous asset ownership, and over-reliance on incomplete data sources often lead to inaccurate client profiles and missed opportunities.

At the same time, firms are rapidly embedding AI into prospecting, segmentation, and personalization workflows. But AI doesn’t fix bad data—it amplifies it. Without a strong data foundation, even the most advanced models can quietly point teams in the wrong direction.

Join Windfall’s Rick Lindquist and Tyler Dillard for a discussion on why wealth data is inherently difficult—and how leading firms are modernizing both their data and workflows to unlock better outcomes.

In this session, we will explore:

• Why traditional wealth data and segmentation approaches break down in modern financial services
• The impact of fragmented records and ambiguous asset ownership on client profiles
• The risks of relying on incomplete or proxy-based wealth signals
• The difference between “good data” and “bad data”—and how it shapes AI outcomes
• How to evolve legacy workflows into data- and AI-driven decisioning systems
• Bonus: A live demonstration of how Windfall enables teams to activate high-quality wealth data in real time

Please fill out the form to save your seat. We hope you and your team will join us!