Human computer interaction has been dominated by keyboard/mouse/screen technology. Focus of advanced analytics has been on the structure of alphanumeric data.
Goals and Objectives
Incorporate voice and interaction based on other senses (touch, gestures, etc.), and use deep learning to derive value from rich media and text sources.
Deep learning, transfer learning, NLP, image, voice, video analysis, Q&A systems, speech recognition, conversational AI platforms, and corresponding third-party services
Use Case Summary
The leveraging of the full range of unstructured and rich media data and combine it with structured data and utilize a range of human-computer interaction capabilities across a range of in-office and in-field situations