Today, most decisions are made using a known models of business conditions.
Goals and Objectives
Use of AI-based algorithms and real-time data to automatically detect anomalies and opportunities; predict whether further action is needed and to apply optimization to automate or augment decision making.
AI technologies to convert unstructured to structured data, machine learning, messaging or other technique to push processing and decision-making through pipeline, optimization to decide or make recommendations.
Use Case Summary
When there is a business benefit in rapidly predicting upcoming problems or immediate opportunities where conditions change continuously and data is highly variable, including IoT use cases, real-time promotions, quality controls, inventory outage predictions.