Watson is a cognitive computing system developed by IBM that is capable of answering questions posed in natural language, analyzing human language, generating hypotheses based on evidence, and ranking hypotheses according to confidence levels. The document outlines Watson's architecture which uses various models to analyze an inquiry, retrieve and deeply analyze evidence from sources, generate and score hypotheses, and synthesize answers with confidence levels.

1. Jerome Pesenti
VP, Core Technology, IBM Watson
Cognitive Computing

3. Answer
Scoring
Models
Responses with
Confidence
Inquiry
Evidence
Sources
Models
Models
Models
Models
ModelsPrimary
Search
Candidate
Answer
Generation
Hypothesis
Generation
Hypothesis and Evidence
Scoring
Final Confidence
Merging & Ranking
Synthesis
Answer
Sources
Inquiry/Topic
Analysis
Evidence
Retrieval
Deep
Evidence
Scoring
Learned Models
help combine and
weigh the Evidence
Hypothesis
Generation
Hypothesis and Evidence
Scoring
Inquiry
Decomposition
© International Business Machines Corporation, 2014

15. © 2014 International Business Machines Corporation

17. For Educational Purposes Only – Slides are Not for Distribution

18. For Educational Purposes Only – Slides are Not for Distribution

19. © 2015 International Business Machines Corporation 19

20. Watson
Debater

21. © 2015 International Business Machines Corporation 21

23. What will you
do with
Watson?