Digital banking platform and architecture

This system creates detailed digital profiles for many users, where each profile is a set of numbers representing that user's behavior. These numerical profiles are organized efficiently in computer memory, allowing machine learning programs to quickly analyze and understand user patterns. The claims specifically focus on these profiles being approximations of individual user behavior.

Why it matters: Filed before the widespread adoption of specialized vector databases and highly efficient deep learning frameworks. The claimed architecture for memory-efficient user behavior profiling is now more critical for large-scale personalized AI applications.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data architecture, machine learning

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