Predicting the Critical Decision and Forecasting using Strategic Decision tools

This white paper describes the requirements for strategic decision-making tools that support critical decision-making based on predictions. A hypothesis-driven (data-driven) system rather than a purely data-driven methodology. Furthermore, we propose a simple, natural human-computer interaction approach that simplifies the creation of complex domain models in systems that use probabilistic reasoning methods to facilitate high-quality decision-making under uncertainty. I will also explain the importance. Such systems help users build complex models, query for predictions, formulate hypotheses, and validate predictions using evidence obtained from corpora of text documents. The system needs technology to automatically compile and explain predictions. This allows users who don't need to understand the math behind predictions to understand why a particular prediction is being made