This inventor holds 1 USPTO granted patent. Top assignee: Accenture Global Solutions Limited. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Arijit Paul: Innovator in AI-Based Transaction Processing
Introduction
Arijit Paul is a notable inventor based in Hooghly, India. He has made significant contributions to the field of artificial intelligence, particularly in transaction data processing and reconciliation. His innovative approach leverages AI to enhance the accuracy and efficiency of financial transactions.
Latest Patents
Arijit holds a patent for an "Artificial Intelligence (AI) based transaction data processing and reconciliation system." This system analyzes transaction data from various accounts to identify anomalous transactions. It tags transactions with a Required Adjustments tag (R-tag) or identifies aging transactions. The system employs different AI-based models to generate risk scores, facilitating the automatic reconciliation of low-risk transactions. Conversely, transactions with higher risk scores are flagged for further review. Additionally, the system analyzes accounts through AI-based models to identify those that may require R-tagging or are at risk of being de-certified. Accounts with higher risk scores are flagged for review, while those with lower scores can be automatically certified. Arijit has 1 patent to his name.
Career Highlights
Arijit Paul is currently employed at Accenture Global Solutions Limited, where he applies his expertise in artificial intelligence to develop innovative solutions. His work focuses on enhancing transaction processing systems, making them more reliable and efficient.
Collaborations
Arijit collaborates with talented professionals in his field, including Vijay Desai and Aaron Levine. Their combined efforts contribute to the advancement of AI technologies in transaction processing.
Conclusion
Arijit Paul's contributions to artificial intelligence in transaction data processing exemplify the potential of innovation in enhancing financial systems. His work not only improves transaction accuracy but also streamlines the reconciliation process, showcasing the transformative power of technology in the financial sector.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
