Optimized Predictive Planning with KNIME

From Business Problem to Modeling and Implementation

This presentation looks into predictive planning at Deutsche Telekom. It covers the entire process: business problem definition, decision elements, underlying data, modeling, and implementation. It also describes elements of the underlying data, evolution of the model, platform architecture, integration into the data warehouse, and additional frameworks supporting deep learning.

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