ARTIFICIAL INTELLIGENCE ! ?? ?? With all the hype around AI, it can be easy to be afraid or confused. WHY AI HAS RE-EMERGED Explosion of data Increased computational resources Identification of specific problems best handled by a machine BREAKING DOWN AI narrow broad weak strong Amazon recommendations Designed around specific tasks Designed around ability to reason in general Google’s deep learning Simply getting systems to work Aimed at simulating human reasoning IBM’s Deep Blue Research only AI CAPABILITIES SENSING REASONING ACTING Taking in raw data for image processing and speech recognition Thinking about how things relate to what is known Siri listening to you IBM’s Watson Generating and controlling actions Cortana speaking to you ASSESSING INFERRING PREDICTING How AI systems look at the world How AI systems draw conclusions Profile building for recommendation or search Search engine suggesting “remedies” when you search “symptoms” How AI systems make guesses about what happens next Netflix recommends a show based on history HOW AI COMMUNICATES NATURAL LANGUAGE GENERATION (NLG) It’s time to set the record straight about AI ANALYZING GENERATING INFORMING Identify facts and determine what is important and interesting Automatically generate data-driven narratives to desired specifications Easily share information in a readable format at scale For more information, download: Practical Artificial Intelligence for Dummies www.narrativescience.com/practical-ai Advanced NLG systems, like Narrative Science Quill, understand the stories you want to tell, perform the analysis and ingest the data required to achieve those goals. Quill turns data into narratives by