What Watson can do for you
Watson analyzes unstructured data
80%
of all data today is unstructured
This includes news articles, research reports, social media posts and enterprise system data
How Watson reveals insights
Analyzes unstructured data
Uses natural language processing to understand grammar and context
Understands complex questions
Evaluates all possible meanings and determines what is being asked
Presents answers and solutions
Based on supporting evidence and quality of information found
How Watson answers questions
Watson first needs to learn a new subject before it can answer questions about it
First Watson learns a new subject
- All related materials are loaded into Watson, such as Word documents, PDFs and web pages
- Questions and answers pairs are added to train Watson on the subject
- Watson is automatically updated as new information is published
Then Watson answers a question
- Watson searches millions of documents to find thousands of possible answers
- Collects evidence and uses a scoring algorithm to rate the quality of this evidence
- Ranks all possible answers based on the score of its supporting evidence