Streamscape's cognitive AI platform includes real-time data integration capabilities that enable supervised learning by capturing user content from speech, documents, E-Mail, applications or social media and adding it into your machine learning models. This allows the system to learn at scale, interact with humans, and guide data-driven decisions in the following ways:
- Search the dataspace to infer meaning, find similarity and context in data by using semantics
- Identify human emotion, sentiment and graph social interactions, providing situational awareness
- Learn from available data to discover actionable insights, hidden behind data patterns
- Recommend in real-time – documents, images and information relevant to conversational or streaming data
- Automate repetitive decision making tasks, applying them to large data volumes in real-time