Cognitive Analytics is a subset of cognitive computing AI that mimics human judgement and perception. Making decisions often involves a Real-Time understanding of context, intent, environmental factors and how they relate to past experiences. Cognitive computing teaches machines how to perform the same fact gathering, semantic analysis and historic data search we use in decision making. Most importantly, a congitive AI platform can identify which facts are relevant. It brings together Machine Learning, Thematic Analysis, Language Processing and traditional BI techniques to improve and automate problem solving.
Cognitive computing systems augment human intelligence, improving our decision making with data-driven insights and machine-guided recommendations. Results are often presented as Knowledge Graphs used to discover patterns, understand meaning based on context and learn about data relationships. The coolest thing about cognitive systems is that they can learn from their own computations. The more data we add to the system, the more connections it forms allowing the AI to constantly adapt to new information.