Consuming ML models for Operational Decisions
Blog: Decision Management Community
During
DecisionCAMP-2020 Vendor’s Panel, Guilhem Molines announced availability of new IBM Automation Decisions Services (ADS). This article describes how ADS incorporates Machine Learning in Decision Modeling. Link
“To balance and convert those predictions into a specific retention action, we use business rules (inside the blue “decision” nodes). For example, the ML model might recommend promotions the customer is ineligible for, has already rejected, or are too expensive compared to the business value of retaining the customer. Business rules are used to filter out such offers and decide on a final retention action. This decision model — ML models included — is fully executable, meaning it’s deployed operationally in ADS without any coding required.“
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