Infor helps businesses operationalize AI with Coleman platform

By : |September 25, 2019 0

Infor made its Coleman AI Platform available now for embedded machine learning models, giving enterprises the speed, repeatability and personalization needed for enterprises to fully operationalize AI.

The AI Platform is named after the physicist and mathematician Katherine Coleman Johnson, whose work at NASA helped humans land on the moon.  

Through the Coleman AI Platform and Infor OS(Operating Service), Infor delivers the Intelligent CloudSuite, a complete solution to automate, anticipate, predict and inform.

Rick Rider, Infor senior director of product management, Infor OS and the Coleman AI Platform, 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.”

The Coleman AI Platform is designed specifically for non-technical, 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,” said he.

The practical use of AI and machine learning in the enterprise is now low, as the enterprise AI environment consists of a myriad of developer-centric tools, which are designed primarily for experimental projects. With these tools, it is difficult to implement complete projects — and services quality and speed are painfully slow. But now with the availability of this platform, enterprises can simplify and speed up the entire implementation process, and roll out complete, production AI projects in less than six weeks.

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 personalized and tailored to specific customer data and usage patterns. Using them does not require extensive data modeling skills also.

It also provides the extensive tooling needed for a well-established machine learning practice. Operating below an application’s surface, it mines data and uses machine learning to help improve processes such as inventory management, transportation routing, and predictive maintenance.

The Infor Coleman AI Platform modeling environment is “digestible.”  It doesn’t require as complex a skillset as other AI tooling, nor is it designed to require an exhaustive service engagement. Customers can better understand, relate, and trust the output, given the focus on user experience and embedded connectivity to the entire applicable enterprise suite.

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