The following describes the new release highlights for users of Infor OS Artificial Intelligence:
- Decision Manager Business Rules & Feedback Options: A new Decision Manager module that empowers augmentation of AI data-driven outputs with business logic for better decision-making. The Decision Manager module allows for automating decisions within the business processes by leveraging a model of business decisions called a Decision plan. The Decision plan encompasses rule facts, activation parameters, decision attributes, and arbitration to facilitate efficient decision-making. User's feedback options for product recommendations are in the In-Context app.
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- Optimization Custom Algorithm, Custom Endpoint Schema: The recently introduced Optimization module has been enhanced with features for faster implementations and adoption outreach. Provides custom algorithm experience to allow for efficient optimization models building experience and flexible, customizable endpoint schema configuration to meet multiple runtime input needs.
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- Optimization Orchestration for Model Updates: Optimization models can be updated automatically on a schedule without user interaction.
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- Machine Learning Auto Clustering Algorithm Update: Auto Clustering ML algorithm has been updated with an elevated version that adds new features and simplifies the quest flow and ease of use.
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- Machine Learning Dynamic Datasets: Dynamic dataset is introduced as a new dataset type to eliminate the need for sending processed intermediate datasets to the Data Lake. A new activity "Save as Dynamic Dataset" is available in the ML quest to save result datasets within the platform as a new dynamic type that is rewritten with each quest execution. The dynamic datasets can then be reused as input in subsequent quests.
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- Machine Learning Multiple Python Versions: Strategy for supporting multiple Python versions for Custom Algorithms. Version management system that allows users to specify the desired Python version for their custom algorithms. Currently supported Python versions are 3.7 and 3.12.
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- Python Libraries Updates: The pre-installed Python libraries for the Custom Algorithms and the Scripting activity have been upgraded to newer versions. Updates are performed to maintain the security and performance of the Artificial Intelligence application, where these libraries are utilized
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- OS Portal Alabaster Accent Color: The Alabaster has been implemented as a default accent color in the Infor OS Portal. Users are able to change the accent color according to their preference.
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A full list of new features, bugs fixed, and other documentation can be found on the Infor Support Portal. Learn more about Infor OS here or contact us anytime.
Don't see a feature you want? Log into the Infor Support Portal and click on Resources > Enhancement Requests. You can enter your own and vote for others.
For more information on product updates, please see the release training that is available to customers on Infor Campus.
