ibm's watson

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IBM’s Watson Holland Davey, Jana Babouder- Matta, Chris Honeycutt, David Burr

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Page 1: Ibm's watson

IBM’s Watson

Holland Davey, Jana Babouder-Matta, Chris Honeycutt, David Burr

Page 2: Ibm's watson

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

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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

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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

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Jeopardy! Challenge

• February 2011: First computer to compete against humans in Jeopardy!

• Defeated shows greatest two champions Ken Jennings and Brad Rutter

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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”

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Technology

• Question-answering Technology

• Deep understanding of natural language.

– Process and answer complex questions that have puns, irony, and/or riddles

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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

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How does Watson answer a question?

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The Process

Step 1

Step 1:

Question Analysis

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The Process

Step 1 Step 2

Step 2:

Hypothesis Generation

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The Process

Step 1 Step 2 Step 3

Step 3:

Hypothesis and Evidence Scoring

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The Process

Step 1 Step 2 Step 3 Step 4

Step 4:

Final Merging and Ranking

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This process takes a total of

3 Seconds

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A little more in-depth

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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.”

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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

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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?

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Other Possibilities?

• Travel

• Retail

• Healthcare

• Classroom

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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

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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

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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

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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

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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?

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Discussion Question #2

• Could this eliminate the use for the education system all together?

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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?