Augmented intelligence is the practice of augmenting human intelligence with artificial intelligence (AI). Rather than the science fiction portrayal of machines replacing humans, augmented intelligence focuses on AI’s assistive role in helping people learn, make decisions, and innovate.
Conversational analytics are analytics that use conversational AI technologies – namely natural language processing (NLP) and natural language generation (NLG) – to give machines the ability to understand human speech, process text or voice queries, and provide answers in a conversational way.
Natural language processing is a branch of conversational AI that allows computers to understand written or spoken human language. In the context of augmented analytics, NLP lets users query data by asking questions in a natural way, either by typing them or speaking them aloud.
Natural language generation is a branch of conversational AI that allows computers to transform data into written or spoken human language. In the context of augmented analytics, NLG answers user queries by generating phrases that describe, summarize, or explain results.
Advanced analytics is a type of data science that uses sophisticated techniques and tools – including Big Data and predictive analytics – to forecast future events, behaviors, and trends. Augmented analytics enhances these already advanced capabilities with AI, machine learning, and natural language processing – automating complex predictive modeling tasks and making it easier for all types of users to uncover forward-looking insights.