Infor Announces General Availability of Coleman AI Platform

Platform helps enterprises fully operationalise AI quickly and is key building block of Infor’s Intelligent CloudSuite

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Global leader in business cloud software Infor has announced the general availability (GA) of its Infor Coleman AI (Artificial Intelligence) Platform for embedded machine learning models. The platform provides the speed, repeatability and personalisation needed for enterprises to fully operationalise AI – and it serves as a key building block for Infor’s Intelligent CloudSuite.

 With the Infor Coleman AI Platform, enterprises can take advantage of industry-specific starter packs (templates) to accelerate development of repeatable big data, machine learning-based AI projects. These templates are highly personalised and tailored to specific customer data and usage patterns. Further, they are designed for use by “citizen developers,” who don’t need extensive data modeling skills.

 When combined with Infor OS (Operating Service), enterprises can simplify and speed up the entire implementation process — giving them the ability to roll out complete, production AI projects in less than six weeks. Infor OS is a cloud operating service designed to bring business processes and AI together and offer operational insights that were never accessible to a business before.

 Through its Infor Coleman AI Platform and Infor OS, Infor delivers the Intelligent CloudSuite, a complete solution to automate, anticipate, predict and inform. This gives enterprise customers the business insights they need, when they need them. 

 Jonathan Wood, General Manager, Middle East & Africa, Infor, said, “With other solutions, you have to figure out how to use AI with a multitude of other technologies. We bring an enterprise AI ensemble together in a single platform — through which we can provide a complete Intelligent CloudSuite.”

In addition, Wood said, “the Infor Coleman AI Platform is unique in that it is designed specifically for business users and is built upon a foundation of industry-specific data. At any given moment, it can help with executing tasks and recommending next-best sales offers, or predicting maintenance issues and adjusting production schedules accordingly.”

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