Banking and fintech provide high-frequency, data-rich interactions that support ML-driven personalization at scale. Insurance interactions are low-frequency and event-driven; wealth involves advisory complexity and regulatory constraints. Personalization in wealth requires portfolio, suitability, and planning data integration; insurance requires underwriting and claims data interoperability.