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  • These 3 key capabilities that Watson had to learn are inherent to us as human beings. Computers don’t understand words; they understand code written in 0s and 1s. To have Watson listen to a Jeopardy! Question, process the meaning behind the sentence, and actually go through its vast data base to try to find an answer took about 4 years of development by a special team of researchers. Led by David Ferrucci, the senior manager of IBM’s Semantic Analysis and Integration department, Watson improved from 15 % of the questions correct in 2006 to regularly beating human contestants in 2010.
  • Led by David Ferrucci, the senior manager of IBM’s Semantic Analysis and Integration department, Watson improved from 15 % of the questions correct in 2006 to regularly beating human contestants in 2010.
  • When the question is given, Watson instantly splits it into parts of speech and tries to identify each of their roles in the sentence as a whole. This helps Watson determine what type of question is being asked and what the question is asking for.
  • Watson quickly searches through hundreds of millions of documents looking for a few thousand possible answers. At this point in the process, it’s quantity over accuracy because if Watson disregards the correct answer in this process, there’s no way of retrieving it.
  • Watson finds passages from many different sources to find positive and negative evidence of the remaining possibilities. Watson understands the passages and relationships between those passages. Scoring algorithms rate the quality of these answers on the source material’s reliability to whether the time or location of the answer seem correct. This all happens in a matter of seconds.
  • Watson uses prior experience to weigh the importance of the different types of evidence. Watson learns how to weigh, apply, and combine its algorithms to help decide the degree each piece of evidence is useful.
  • IBM Watson has already “wowed” the public with his skills on Jeopardy. As we have been told, Watson has already been hired by Citigroup and by Wellpoint. However, Watson’s career goals reach much farther. The goal is to become a core requirement of these three fields.
  • http://www.forbes.com/sites/schifrin/2012/05/09/will-supercomputer-watson-be-a-superhero-for-banking/
  • http://www.eweek.com/c/a/Cloud-Computing/IBM-Exploring-New-Use-Cases-Business-Model-for-Watson-Cloud-Services-493686/
  • Watson presentationsit

    1. 1. Watson Nicole Jordan Chris Nick
    2. 2. Where Have You Heard of Watson?• February 14th, 2011 Watson competed on Jeopardy• In a three day match, Watson won a one million dollar prize• Jeopardy also spent time introducing Watson’s development and capabilities.
    3. 3. What is Watson?• Watson is a machine that can understand and answer natural language.• Basically, Watson acts as a search engine you can speak to.• IBM plans to develop Watson beyond Jeopardy, to advance certain fields.• Although Watson is very smart, it does not have the ability to think as a human.
    4. 4. Development ofWatson
    5. 5. What does Watson need forit to be successful? • The ability to discern double meanings of words, puns, rhymes, and inferred hints • Extremely rapid responses • The ability to process vast amounts of information to make complex and subtle logical connections
    6. 6. Focus on 3 key capabilities• Natural language processing• Hypothesis generation• Evidence-based learning
    7. 7. Development into aJeopardy! powerhouse• 2006: Watson could get 15% of the questions correct• 2007: A team of 20-25 people, led by David Ferrucci, were given 3-5 years to solve the problems surrounding Watson• 2008: Watson could compete with Jeopardy! Champions• 2010: Watson could regularly beat human Jeopardy! contestants
    9. 9. 4 Not-So Simple Steps• Question Analysis• Hypothesis Generation• Hypothesis and Evidence Scoring• Final Merging and Ranking
    10. 10. Question Analysis• Splits question into parts of speech• Identifies each part of speech as a role in the sentence
    11. 11. Hypothesis Generation• Quick search through hundreds of millions of documents• Quantity over accuracy
    12. 12. Hypothesis and Evidence Scoring• Finds passages from the remaining sources for positive or negative evidence• Scoring algorithms rate the quality of these answers
    13. 13. Final Merging and Ranking• Weigh the importance of the different types of evidence• Weighted evidence scores are merged into a final ranking ▫ If the ranking is below 50%, Watson won’t answer ▫ No fixed confidence level for whether Watson will answer or not
    14. 14. Current Uses
    15. 15. Jeopardy! Winner!• Has 200 million pages of information.• Ken Jennings• Brad Rutter
    16. 16. Health Care• WellPoint Inc. and Seton Health Family• Better than a doctor?• Data Mining.• Patients Information.• Results.
    17. 17. Finance• CitiGroup• The process• Data Mining• Next Data Analysis
    18. 18. Supercomputer or Superhero?1. Finance2. Healthcare Dr. Watson3. Public Services
    19. 19. Finance • Big Data vs. Big Strokes • Watson vs. Computer Farms • Patterns vs. AlgorithmsMost financial services firms are dyingof thirst in an ocean of data- IBMChang
    20. 20. Healthcare• Dr. Watson• Information database• Diagnosis and Prescription"The way we doctors work,…we ask ourcolleagues, we ask specialists in thefield. In essence, Watson will havethat capability.” - Dr. Kris Watson
    21. 21. Public Services • Traffic Flow • Energy Use
    22. 22. Final quote?Watson is not a deterministic system. Watson learns, based on the information thats fed to it. Its also trained; its a machine-learning system. Its only as smart as the information its fed. Its the way any human being would learn.
    23. 23. Works Cited• http://www.startribune.com/business/163187546.html?refer=y• http://minnesota.publicradio.org/display/web/2012/06/13/health/ibm-watson-medical-technology/• http://minnesota.publicradio.org/display/web/2012/06/13/health/ibm-watson-medical-technology/• http://www.bloomberg.com/news/2012-03-05/ibm-s-watson-computer-gets-wall-street-job-one-year-after-jeopardy- win.html• http://www.forbes.com/sites/schifrin/2012/05/09/will-supercomputer-watson-be-a-superhero-for-banking/• http://www.eweek.com/c/a/Cloud-Computing/IBM-Exploring-New-Use-Cases-Business-Model-for-Watson-Cloud- Services-493686/• http://www.bloomberg.com/news/2011-02-16/don-t-read-this-unless-you-want-to-know-if-ibm-won-jeopardy-.html• http://www-03.ibm.com/innovation/us/watson/• http://en.wikipedia.org/wiki/Watson_(computer)• http://www-03.ibm.com/innovation/us/watson/science-behind_watson.shtml• http://www.inc.com/guides/201103/leading-the-ibm-watson-team-to-innovate.htmlhttp://www- 03.ibm.com/innovation/us/watson/what_makes_watson_different.shtml• http://online.wsj.com/article/SB10001424053111903532804576564600781798420.html• http://omaha.com/article/20120311/MONEY/703119891• http://www-03.ibm.com/innovation/us/watson/putting_watson_to_work.shtml• http://www-03.ibm.com/innovation/us/watson/watson_in_healthcare.shtml• http://www-03.ibm.com/innovation/us/watson/watson_in_finance.shtml
    24. 24. Based on what we have presented on IBM’sfuture expectations of Watson, how do youfeel that this machine will have a largeimpact on our futures?
    25. 25. What field do you think Watson may havethe largest impact in? Why?
    26. 26. What part of Watson’s development do youfind most innovating?