Watson Assistant (formerly Conversation)
Add a natural language interface to your application to automate interactions with your end users. Common applications include virtual agents and chat bots that can integrate and communicate on any channel or device.
Add a cognitive search and content analytics engine to applications.
Discover, catalog, and securely share enterprise data.
Build custom models to teach Watson the language of your domain.
Translate text from one language to another, adapt translation models to your custom domain.
IBM Watson Machine Learning - make smarter decisions, solve tough problems, and improve user outcomes.
Natural Language Classifier
Natural Language Classifier performs natural language classification on question texts. A user would be able to train their data and the predict the appropriate class for a input question.
Natural Language Understanding
Analyze text to extract meta-data from content such as concepts, entities, emotion, relations, sentiment and more.
The Watson Personality Insights derives insights from transactional and social media data to identify psychological traits
Speech to Text
Low-latency, streaming transcription
Text to Speech
Synthesizes natural-sounding speech from text.
Tone Analyzer uses linguistic analysis to detect three types of tones from communications: emotion, social, and language. This insight can then be used to drive high impact communications.
Find meaning in visual content! Analyze images for scenes, objects, faces, and other content. Choose a default model off the shelf, or create your own custom classifier. Develop smart applications that analyze the visual content of images or video frames to understand what is happening in a scene.
Embed AI and machine learning into your business. Create custom models using your own data.