Nucleus Research positions Infor as a leader in its 2023 Integration Platform as a Service (iPaaS) Technology Value Matrix

Infor®, the industry cloud company, today announced that Nucleus Research has positioned Infor as a leader in its 2023 Integration Platform as a Service (iPaaS) Technology Value Matrix report. Infor is recognized for the functionality and usability of its iPaaS solution, which consists of the Infor Intelligent Open Network (ION), an advanced middleware cloud platform that is part of Infor OS (Operating Service), and the Infor ION API (Application Programming Interface) Gateway.

"With Infor ION, customers can integrate both Infor and non-Infor systems and support complex hybrid, edge, and multi-cloud approaches," Nucleus states in the report. "Users can also connect applications to the events in their business process, automate data movement across systems, monitor for business exceptions, or trigger workflows with an event-driven architecture."

Nucleus also states in the report that, "The Infor OS platform delivers 'Big Data' management, data transformation across all popular data formats, and support for synchronous and asynchronous integration patterns. Infor OS also works out of the box with Coleman AI to automate the training, retraining, and live evaluation of ML (machine learning) models. Infor Coleman AI also provides tools for intelligent automation, natural language processing, and machine learning to enable various user personas."

Vignesh Subramanian, Infor senior director of product management, said, "We believe Infor's being positioned as a leader in this Nucleus iPaaS Technology Value Matrix is strong recognition that the Infor ION and OS platform makes it easy for organizations to integrate Infor and third-party applications, while streamlining business process flows to reduce costs and improve performance. In our multi-tenant cloud, the ION platform and the API Gateway each handles more than 2 billion transactions. So, this technology not only provides reliability, it provides it in a scalable way for customers to improve end-to-end efficiency, leverage the power of AI and machine learning, and realize faster time-to-value."

Read More...