The emerging discipline of decision AI creates the opportunity for enterprises to make smarter, faster, and more adaptable decisions than traditional business intelligence methods. Decision AI uses artificial intelligence to automate the decision lifecycle and overcome human limitations. It comprises both decision intelligence and contextual intelligence.
Decision intelligence detects what happened and analyzes why it happened. Then it predicts what will happen, prescribes what to do, and automates the resulting decision and action. Decision intelligence uses visualization, augmented analytics, and machine learning (ML) to help make decisions, then workflow orchestration to automate the resulting action.
Contextual intelligence helps make those decisions actionable and specific, and more so over time because it learns. It assesses outcomes, compares them to expectations, then refines algorithms to improve future decisions. Contextual intelligence uses machine learning to perform these tasks and visualization to present evidence along the way for human review.