✅ Description

This in-depth walkthrough introduces the latest advancements in Infor Artificial Intelligence, showcasing powerful new capabilities designed to help enterprises operationalize machine learning, automate decision-making, and optimize complex business processes. The presentation highlights two major enhancements in the April 2024 release: the Decision Manager module and the Custom Algorithm option in the Optimization Engine.

The new Decision Manager transforms raw AI model outputs into actionable business decisions by combining machine learning insights with dynamic business rules, human reasoning, and domain-specific logic. This module addresses a critical enterprise challenge—AI models rely heavily on historical data and often lack awareness of evolving strategies, promotions, and compliance requirements. Decision Manager introduces decision plans that incorporate rule facts, activation parameters, decision attributes, arbitration rules, and feedback loops, enabling organizations to override, enhance, or refine AI predictions in real time.

Users can build robust decision models using configurable data dictionaries, profiles, and custom fields, then deploy them as endpoints for testing and consumption. Integrated feedback features in AI Advisor widgets allow users to snooze or validate recommendations, feeding directly into the decision plan for continuous improvement. This creates a powerful synergy between predictive analytics and human-engineered business logic—strengthening product recommendations, promotional strategies, and operational decisions.

The session also unveils the Custom Algorithm framework in the Optimization module, giving enterprises complete control over the optimization pipeline. Users can package custom code, leverage embedded solvers, or integrate proprietary solvers to build advanced optimization models tailored to unique business challenges. Through hyperparameter definition, custom solver selection, and schema configuration, organizations can create sophisticated optimization solutions such as invoice-to-purchase-order matching, supply chain optimization, and resource allocation.

After deploying a custom algorithm, users can run optimization Quests, compare results, configure real-time endpoints, and push the best-performing models to production. The system supports flexible input schemas, JSON output generation, and detailed scenario comparison to ensure optimal model performance before deployment.

Together, Decision Manager and Custom Algorithms equip enterprises with unprecedented AI-driven intelligence, enhancing automation, accuracy, compliance, and business agility—ultimately delivering more powerful predictive and prescriptive analytics to drive intelligent decision-making at scale.

🎯 Keyword List

Primary Keywords

• Infor Artificial Intelligence

• Infor AI Decision Manager

• Infor Optimization module

• Infor AI April 2024 release

• AI predictive and prescriptive analytics

• Enterprise AI decision automation

Secondary Keywords

• AI model business logic integration

• Machine learning optimization engine

• Custom algorithm for optimization

• AI-based product recommendations

• Business rules engine for AI

• AI model feedback loop

• Infor AI Advisor widget

• Decision plan configuration

Long-Tail Keywords

• How to use Infor AI Decision Manager for business rule automation

• Creating decision plans with rule facts and activation parameters

• Deploying custom optimization algorithms in Infor AI

• Infor AI hyperparameters and solver configuration tutorial

• Invoice-to-purchase-order AI matching optimization

• Defining data dictionaries for AI decision models

• Using AI Advisor feedback to refine machine learning outputs

• Building, deploying, and testing real-time AI endpoints

• Combining machine learning predictions with human business logic

• End-to-end workflow for Infor custom algorithm deployment