Elizabeth Daniel

Title: Elizabeth Daniel and Transaction Processing Innovation.

Introduction

Elizabeth Daniel is an inventor based in Dallas, Texas. Her patent work concerns transaction processing systems that combine machine learning with rule-based logic to generate transaction parameters.

Latest Patents

Daniel is associated with 1 patent, titled “Systems and Methods for Optimized Transaction Processing.” The disclosed method provides inputs to a payload engine, a machine learning engine, and a rules engine. The machine learning model and logic tree each generate a transaction processing parameter using transaction details and the provided inputs. The system then combines the transaction and both parameters into a transaction payload formula.

Career Highlights

Daniel’s listed patent is associated with JPMorgan Chase Bank, N.A. It describes an approach to transaction processing that brings machine-learning outputs and rule-based decisions together.

Collaborations

The provided information lists Thomas C. Barton and David Combs as Daniel’s coworkers.

Conclusion

Elizabeth Daniel’s patent reflects an approach to optimizing transaction processing by combining machine learning, rules-based logic, and transaction data.