IBM Watson

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Watson is an artificially intelligent computer system capable of answering questions posed in natural language, developed in IBM's DeepQA project. Watson is a cognitive technology that processes information more like a human than a computer—by understanding natural language, generating hypotheses based on evidence and learning as it goes.

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IBM Watson

  1. 1. Pratheeban R MBA – I year Banking Technology School of Management
  2. 2. WATSON  Artificially intelligent computer system  Capable of answering questions posed in natural language  Developed in IBM's DeepQA project  Watson was named after IBM's Thomas J. Watson.
  3. 3. Actually, What is it?
  4. 4. Actually, What is it?  question answering (QA) computing system  advanced natural language processing  information retrieval  knowledge representation  automated reasoning  machine learning technologies  to the field of open domain question answering
  5. 5. Hardware  workload optimized, integrating massively parallel POWER7 processors and being built on IBM's DeepQA technology  composed of a cluster of ninety IBM Power 750 servers, each of which uses a 3.5 GHz POWER7 eight core processor, with four threads per core  In total, the system has 2,880 POWER7 processor cores and is able to store 16 terabytes of RAM
  6. 6. Hardware  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  the content was stored in Watson's RAM for the operation because data stored on hard drives are too slow to access
  7. 7. POWER 7 Processors
  8. 8. POWER 7 Processors – in process
  9. 9. Software  written in various languages  Java, C++, Prolog, etc  Apache Hadoop framework for distributed computing, Apache UIMA (Unstructured Information Management Architecture) framework  IBM’s DeepQA
  10. 10. Software  SUSE Linux Enterprise Server 11 operating system  more than 100 different techniques  analyze natural language  identify sources  find and generate hypotheses  find and score evidence  merge and rank hypotheses
  11. 11. DATA  Sources of information include encyclopaedias, dictionaries, thesauri, newswire articles, and literary works.  Watson also used databases, taxonomies, and ontologies.  DBPedia, WordNet, Yago  Millions of information and data - to build its knowledge.
  12. 12. Architecture
  13. 13. Data Flow
  14. 14. First Implementation  Watson competed on Jeopardy! against former winners Brad Rutterand Ken Jennings  Watson received the first prize of $1 million
  15. 15. Watson – answering
  16. 16. Current Implementation  Watson software system's first commercial application would be for utilization management decisions  Lung cancer treatment at Memorial Sloan–Kettering Cancer Center in conjunction with health insurance company WellPoint  IBM Watson’s business chief Manoj Saxena says that 90% of nurses in the field who use Watson now follow its guidance
  17. 17. WATSON at Health Care
  18. 18. Future Implementation  Rensselaer Polytechnic Institute will receive a successor version of Watson  at the Institute's technology park – for researchers and students
  19. 19. Watson Applications
  20. 20. Thank You!

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