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IBM Watson
A NEW CULTURE TO THINK
Topic
 What is IBM WATSON?
 Watson – A Workload Optimized System
 About it & Why it is created..
 Architecture & process
 Achievement
 How we can use Watson!
 Prons & Cons
 References
What is IBM WATSON?
 Watson is a customized computer system designed by IBM researchers to
deliver a single, precise answer to a question processed in natural
language.
 Watson is a question Answering Computing System that IBM built to
apply advanced NLP, information retrieval, knowledge representation,
automated reasoning & machine learning technologies to be the field of
open domain question answering
 In Simple terms, we can say that the Watson is a super computer which is
used to give answer after processing the question asked or deliver in the
Human Language or Natural Language
Watson – A Workload Optimized System
 90 x IBM Power 750 servers
 2880 POWER7 cores
 POWER7 3.55 GHz chip
 500 GB per sec on-chip bandwidth
 10 Gb Ethernet network
 15 Terabyates of memory
 20 Terabytes of disk, clustered
 Can operate at 80 Teraflops
 Runs IBM DeepQA software
 Scales out with and searches vast amounts of unstructured
information with UIMA & Hadoop open source components
 Linux provides a scalable, open platform, optimized
to exploit POWER7 performance
 10 racks include servers, networking, shared disk system,
cluster controllers
About it & Why it is created..
 Project started in 2007, lead David
Ferrucci
 Initial goal: create a system able to
process natural language & extract
knowledge faster than any other
computer or human
 Jeopardy! was chosen because it’s a
huge challenge for a computer to find
the questions to such “human”
answers under time pressure
 Watson weighs the probability of his
answer being right – doesn’t ring the
buzzer if he’s not confident enough
Architecture
Achievement
How we can use Watson!
 Answer Retrieval
 News Intelligence
 Social Customer Care
 Text Message Chatbot
 Voice of the Customer
 Gallery
Prons & Cons
PRONS
 Parse textual data really well.
 Features for analyzing the textual data.
 No Skill Required To work with Watson.
Cons
 Not answers to the questions whose answers are not known
 Only Answer when 100% sure.
References
 https://twitter.com/IBMWatson
 https://www.trustradius.com/ibm-watson-analytics
 http://www.slideshare.net/suchitralotus/ibm-watson
 https://www.youtube.com/watch?v=_Xcmh1LQB9I
Thank you
BY
Harshdeep Singh

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IBM Watson

  • 1. IBM Watson A NEW CULTURE TO THINK
  • 2. Topic  What is IBM WATSON?  Watson – A Workload Optimized System  About it & Why it is created..  Architecture & process  Achievement  How we can use Watson!  Prons & Cons  References
  • 3. What is IBM WATSON?  Watson is a customized computer system designed by IBM researchers to deliver a single, precise answer to a question processed in natural language.  Watson is a question Answering Computing System that IBM built to apply advanced NLP, information retrieval, knowledge representation, automated reasoning & machine learning technologies to be the field of open domain question answering  In Simple terms, we can say that the Watson is a super computer which is used to give answer after processing the question asked or deliver in the Human Language or Natural Language
  • 4. Watson – A Workload Optimized System  90 x IBM Power 750 servers  2880 POWER7 cores  POWER7 3.55 GHz chip  500 GB per sec on-chip bandwidth  10 Gb Ethernet network  15 Terabyates of memory  20 Terabytes of disk, clustered  Can operate at 80 Teraflops  Runs IBM DeepQA software  Scales out with and searches vast amounts of unstructured information with UIMA & Hadoop open source components  Linux provides a scalable, open platform, optimized to exploit POWER7 performance  10 racks include servers, networking, shared disk system, cluster controllers
  • 5. About it & Why it is created..  Project started in 2007, lead David Ferrucci  Initial goal: create a system able to process natural language & extract knowledge faster than any other computer or human  Jeopardy! was chosen because it’s a huge challenge for a computer to find the questions to such “human” answers under time pressure  Watson weighs the probability of his answer being right – doesn’t ring the buzzer if he’s not confident enough
  • 8. How we can use Watson!  Answer Retrieval  News Intelligence  Social Customer Care  Text Message Chatbot  Voice of the Customer  Gallery
  • 9. Prons & Cons PRONS  Parse textual data really well.  Features for analyzing the textual data.  No Skill Required To work with Watson. Cons  Not answers to the questions whose answers are not known  Only Answer when 100% sure.
  • 10. References  https://twitter.com/IBMWatson  https://www.trustradius.com/ibm-watson-analytics  http://www.slideshare.net/suchitralotus/ibm-watson  https://www.youtube.com/watch?v=_Xcmh1LQB9I