Watson is an AI system created by IBM to answer questions. It uses natural language processing and is capable of answering questions posed in natural language, by analyzing large amounts of data. Watson is made up of a cluster of IBM servers and can process 500 gigabytes of data per second. While Watson has advantages over humans in processing speed and memory, it still lacks full understanding of context. Future applications of Watson's question answering abilities include use in healthcare for clinical decision support.

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4. Significance
 Analyses the huge amounts of data.
 Understands human language and meaning at
massive scale
 Generates evidence based hypothesis
 Learns from the responses
 (Extended corpus)

8. Architecture

10. HARDWARE

11. Hardware
 Watson is made up of a cluster of ninety IBM Power 750 servers with a
total of 2880 POWER7 processor cores and 16 Terabytes of RAM.
 Watson can process 500 gigabytes, the equivalent of a million books, per
second.
 Watson's hardware cost at about $3 million and with 80 TeraFLOPs
would be placed 94th on the Top 500 Supercomputers list, and 49th in
the Top 50 Supercomputers list.
 The content was stored in Watson's RAM for the game because data
stored on hard drives are too slow to access.

12. Software
 Suse linux enterprise server
 Apache UIMA
 Ibm’s deepQa S/w
 Java ,c++,prolog

13. Comparision With Human Players
 Watson's basic working principle is to parse keywords in a clue while searching
for related terms as responses. This gives Watson some advantages and
disadvantages compared with humanJeopardy! players.
 Watson has deficiencies in understanding the contexts of the clues. As a result,
human players usually generate responses faster than Watson, especially to
short clues.
 Watson's programming prevents it from using the popular tactic of buzzing
before it is sure of its response. Watson has consistently better reaction time on
the buzzer once it has generated a response, and is immune to human players'
psychological tactics.

15. Future Uses
 The goal is to have computers start to interact in natural human terms across a
range of applications and processes, understanding the questions that humans
ask and providing answers that humans can understand and justify.“
 clinical decision support system to aid the diagnosis and treatment of patients.
 Cancer treatment.

16. Conclusion
 Cognitive computing, as the new field is called, takes computing concepts to a
whole new level.
 Its not just a answering machine
 New technology that can interpret the content and context of human language
and analyze massive amounts of data will help. IBM Watson was developed as a
sophisticated question and answer system to compete on Jeopardy! But now,
IBM Watson is at work in healthcare.
 Watson can help loan officers, portfolio managers, financial advisers, customer
service representatives and other financial services professionals do their jobs
better.

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