Ibm's watson
- 1. IBM’s Watson Holland Davey, Jana Babouder-Matta, Chris Honeycutt, David Burr
- 2. Introduction • Super Computer developed by IBM Research • Named for IMB’s founder: Thomas J. Watson • Initially created for Jeopardy! Game Show • Dr. David Ferrucci leads the Watson project
- 3. Development • Search engines deliver thousands of results that match keywords • University’s have worked on a consistent question answering software for years • Programmed by 25 IBM scientists • Not connected to the internet
- 4. Jeopardy! Challenge • Set out to answer complex Jeopardy! Questions • Language is hard for computers because of “intended meaning” • During trials, it won 70% of practice games
- 5. Jeopardy! Challenge • February 2011: First computer to compete against humans in Jeopardy! • Defeated shows greatest two champions Ken Jennings and Brad Rutter
- 6. Could YOU beat Watson? http://www.youtube.com/watch?v=qpKoIfTu krA&feature=related
- 7. Purpose of Watson • Idea formed during IBM top executives brainstorming publicity stunts • Deep Blue– chess supercomputer defeated Garry Kasparov • IBM’s previous most advanced machine was slow and inaccurate • Overall goal: “to create a new generation of technology that can find answers from data more effectively than current search engines”
- 8. Technology • Question-answering Technology • Deep understanding of natural language. – Process and answer complex questions that have puns, irony, and/or riddles
- 10. Technology • Computer running Software called Deep QA • Runs on cluster of Power 750 computers – ten racks holding 90 servers, for a total of 2880 processor cores running DeepQA software and storage – Holds approximately one million books worth of information
- 11. How does Watson answer a question?
- 12. The Process Step 1: Question Analysis
- 13. The Process Step 2: Hypothesis Generation
- 14. The Process Step 3: Hypothesis and Evidence Scoring
- 15. The Process Step 4: Final Merging and Ranking
- 16. This process takes a total of
- 17. A little more in-depth
- 18. Watson’s Future • Commercial Product http://www- 03.ibm.com/innovation/us/watson/what-is- watson/watson-after-jeopardy.html
- 19. Words from John Kelly, Director of IBM Research: “I want to create something that I can take into every other retail industry, in the transportation industry, you name it.” “Any place where time is critical and you need to get advanced state-of-the-art information to the front decision-makers. Computers need to go from just being back-office calculating machines to improving the intelligence of people making decisions.”
- 20. Beyond Jeopardy • Medical Assistant: Memorial Sloan Kettering Cancer Center Partnership (March 2012) – Clinicians will “teach” Watson to review oncological case histories and come up with best diagnosis and treatment
- 22. Managerial Purposes • Financial Assistant: Working with Citi Bank – Help analyze customer needs – Process financial, economic, product, and client data – Help financial professionals make better decision • Could IBM Watson rival complex derivatives on the trade floor?
- 23. Other Possibilities? • Travel • Retail • Healthcare • Classroom
- 24. Advantages • Provides Services that revolve around the new, digital world • Gives immediate answers instead of search results • Healthcare uses – Diagnosis – Information Warehouse • Efficiency and Organization
- 25. Disadvantages • Cannot read PET and CT scans to identify tumors • Questions asked must be in text • Less human effort – Too reliant upon technology – Less personal interaction between doctors and patients • Not cognitive – Only manipulates symbols • Limits understanding and reasoning behind decisions
- 26. Competition • Thus far there are no other computers that are near the performance level of Watson • Microsoft and GE announced plans to create something similar to use in the healthcare industry – Aim to use analytics, high performance software technologies to deliver patient outcomes and clinical applications
- 27. Applications to SIT • New technology for a business’ Decision Making Processes – Organizational structure may shift based on allocation of decision making • Potentially eliminates the needs/advantages of Virtual Teams (especially in healthcare) • Changes Knowledge Management Processes
- 28. Discussion Question #1 • What do you think about the future of this product, and the potential to have a super computer with voice recognition software? Could this lead to an iRobot/personal assistant?
- 29. Discussion Question #2 • Could this eliminate the use for the education system all together?
- 30. Discussion Question #3 • If you were a manager at a business, would you trust using Watson with decision making, or do you feel human decision making still is a more reliable source?