In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig deeper into the Predictive Analytics / Decision Support pattern of AI. This pattern uses machine learning and other cognitive approaches to understand how learned patterns can help predict future outcomes or help humans make decisions about future outcomes using insight learned from behavior, interactions, and data. The objective of this pattern is helping humans make better decisions.
We discuss various examples include forecasting, machine learning-based forms of regression and prediction, assisted search and retrieval, number or value predictions including dynamic or predictive pricing, predicting behaviors, predicting failures, and anticipating trends.
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