artificial intelligence presentation

1. Welcome To
our
Presentation

3. Submitted By-
Md. Asikul Islam 143-15-
Kanchon Kumar 143-15-
Md. Sohel Al Mamun 143-15-
Sonot Kumar 143-15-
Submitted To-
Nusrat Sultana Momo
Lecturer
Dept. Of CSE

4. Objectives
 Introduction
 Significance
 Usage
 Architecture
 Hardware
 Software
 Future Plan
 Working with IBM Watson
 Resource

5. Introduction
What is IBM Watson?
Watson is a question answering computer
system capable of answering questions posed
in natural language. It is customized computer
system designed by IBM researchers to deliver
a single and precise answer to a question.

6. Introduction
Why Watson was developed?
The computer system was specifically developed to
answer questions on the quiz show Jeopardy! and,
in 2011, the Watson computer system competed
on Jeopardy! against former winners Brad
Rutter and Ken Jennings winning the first place
prize of $1 million.

7. Significance
 Analyses the huge amount of data.
 Understands human language and meaning at
massive scale.
 Generates evidence based hypothesis.
 Learn from the responses.

8. Usage
 AI is not about replacing human. Humans are
at learning and machines are good at
computing. IBM Watson is combining them to
make machine more powerful.
 Question And Answering.
 ChatterBot
 Building Codes

9. Architecture

10. Architecture

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. Future Uses
 clinical decision support system to aid the diagnosis and
treatment of patients.
 Cancer treatment
 Customer Engagement
 Education
 Financial Services

14. Working with ibm Watson
 API
Conversation
Search
Discovery News
Document Conversion
Language Translator
Natural Language Classifier
Natural Language Understanding
Personality Insights

15. Working with ibm Watson
 API
Conversation
Retrieve and Rank
Speech to Text
Text to Speech
Tone Analyzer
Visual Recognition
Dialog
Tradeoff Analytics

16. Resource
1. https://
console.bluemix.net/docs/services/watson/index.h
2. https://
www.ibm.com/watson/developercloud/doc/index.h
3. https://
www.youtube.com/watch?v=PI55a1jFrMY&list=PLiWc

17. Any Question?

18. Thank you 