Beyond hype why ai v4

Often the output of one algorithm is used as the input to the next Machine Learning A field of AI focused on getting machines to act without being programmed to do so. Machines "learn" from patterns they recognize and adjust their behavior accordingly. AI A field of computer science dedicated to the study of computer software making intelligent decisions, reasoning, and problem solving. Artificial Intelligence as a concept is being thrown around with multiple meanings, here's some grounding 3. 2017 IBM Corporation 11 December 20173 NLP Sensory Evidence Based Expert Systems Planning/Optimization Robotics The AI spectrum: spanning from detection, recommendation, automation, prediction, prevention and scenario modeling AI Audio Vision Speech Deep Learning Predictive Analytics Machine Learning Classification & Clustering Information Extraction Translation Speech to Text Text to Speech Pattern Recognition "Channel" Modulation Image Recognition Machine Vision Diarization ForecastingScheduling Dialogue Driven Command- driven Intention Creation Conflict Management Representative only: By no means complete, the pace of change is such that it would be hard maintain accuracy Complexity Detection Scenario Models Emerging Capabilities AI 4. 2017 IBM Corporation 11 December 20174 While the speech and command driven side is getting all the attention, it's not the end game. A few simple API calls Understanding an unfathomable tax code Decoding genes, drugs and patient care options 5. 2017 IBM Corporation 11 December 20175 How to think about AI Use Cases: Start with Users, Assets, Context.