Cognizant Joins J.P. Morgan Payments Consultant Implementation Program
Cognizant has joined the J.P. Morgan Payments Consultant Implementation Program, announced in a press release. The program connects J.P. Morgan clients with trusted implementation partners to modernize payment and treasury operations through unified technology solutions.
As part of the program, Cognizant will help clients integrate J.P. Morgan Payments solutions with their Treasury Management Systems and Enterprise Resource Planning platforms. The company will provide enhanced connectivity and implementation support, leveraging its experience in payment systems and enterprise applications.
Cognizant brings three decades of payment expertise and a network of more than ten thousand certified payment professionals. The company also has deep knowledge of ISO 20022 messaging standards and the upcoming Cross Border Payments and Reporting Plus (CBPR+) requirements that take effect in November 2026.
In collaboration with J.P. Morgan Payments, Cognizant has developed a set of ready-to-use payment adapters that comply with CBPR+ and are designed to simplify the transition to new messaging standards. The partnership aims to help businesses update their payment infrastructure and maintain regulatory compliance ahead of the global deadline.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Finance AI Weekly, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Finance
More from: Enterprise
Subscribe to Enterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read more