The Future of Research:         How Question Answering Technology Like         IBM Watson® Will Change the Way You Innovat...
Agenda Introduction The End of Search Beyond Search: Question Answering The Future of Research: Deep Semantics Knowle...
THE END OF SEARCH         THE END OF SEARCH.Page 3
5         In the last   years,         the world has produced         more research data than         has been created in ...
Traditional Search No Longer Effective…Page 5
The Failure of Search    IDC estimates that an enterprise employing 1,000    knowledge workers wastes at least $2.5 to $3....
Search is DeadPage 7
BEYOND SEARCH:    QUESTION ANSWERING         BEYOND SEARCH:         QUESTION ANSWERINGPage 8
A QUESTION           ANSWERING         What is Watson?          TECHNOLOGY         BUILT TO PLAY            JEOPARDY!Page 9
IBM Watson®Page 10
Watson Powered by ‘Deep QA’                       Answer                                                Evidence  Question...
Answering Questions    “We’re interested in helping businesses get to    the bottom of problems and answer questions    th...
The Deep QA Approach          While IMB Watson’s Deep QA represents an important class          of technologies, it was de...
THE FUTURE OF RESEARCH:    DEEP SEMANTICS          THE FUTURE OF RESEARCH.Page 15
The Deep Semantics Approach     Finds, extracts & organizes relevant solutions based on deep          linguistic analysis...
Features of a Deep Semantic Question    Answering System     Deep linguistic analysis to extract atoms of meaning        ...
The Deep Semantics Approach                            Academic          Deep Web                           Publications  ...
DEEP SEMANTICS KNOWLEDGE    ENABLES INNOVATION          DEEP SEMANTICS KNOWLEDGE          ENABLES INNOVATION.Page 19
Please click here to access to full presentation deck, as well as the on-demand replay of the webinar:http://InventionMach...
The Future of Research - How Question Answering Technology Like IBM Watson Will Change the Way You Innovate
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The Future of Research - How Question Answering Technology Like IBM Watson Will Change the Way You Innovate

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IBM’s super-computer, Watson, and the Question & Answering technology behind it captivated millions when Watson beat out reigning champions on the popular TV game show Jeopardy!. Now, many are pondering the possible applications of Question & Answering technology.

Anyone who has ever used conventional search technologies knows what an arduous task research can be (hours spent chasing dead-ends and resulting in redundancy and rework). Consider what a powerful research tool – one that retrieves precise answers to your questions – would enable you to do. The possibilities are endless...

The good news? This powerful research technology is commercially available today as a purpose-built solution for driving innovation in product design and manufacturing - helping organizations increase productivity, raise R&D returns, and accelerate innovation.

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The Future of Research - How Question Answering Technology Like IBM Watson Will Change the Way You Innovate

  1. 1. The Future of Research: How Question Answering Technology Like IBM Watson® Will Change the Way You InnovatePage 1
  2. 2. Agenda Introduction The End of Search Beyond Search: Question Answering The Future of Research: Deep Semantics Knowledge Enabling Innovation Q&A
  3. 3. THE END OF SEARCH THE END OF SEARCH.Page 3
  4. 4. 5 In the last years, the world has produced more research data than has been created in all of human history.Page 4
  5. 5. Traditional Search No Longer Effective…Page 5
  6. 6. The Failure of Search IDC estimates that an enterprise employing 1,000 knowledge workers wastes at least $2.5 to $3.5 million per year:  searching for nonexistent information  failing to find existing information  recreating information that can’t be found The opportunity cost to the enterprise is even greater.Page 6
  7. 7. Search is DeadPage 7
  8. 8. BEYOND SEARCH: QUESTION ANSWERING BEYOND SEARCH: QUESTION ANSWERINGPage 8
  9. 9. A QUESTION ANSWERING What is Watson? TECHNOLOGY BUILT TO PLAY JEOPARDY!Page 9
  10. 10. IBM Watson®Page 10
  11. 11. Watson Powered by ‘Deep QA’ Answer Evidence Question Sources Sources Candidate Supporting Deep Primary Evidence Evidence Search Answer Generation Retrieval ScoringQuestion Query Hypothesis Soft Hypothesis & Final Merging Synthesis & RankingAnalysis Decomposition Generation Filtering Evidence Scoring Trained Hypothesis Soft Hypothesis Models Generation Filtering & Evidence Scoring Answer & Confidence Source: http://laplacian.files.wordpress.com/2011/02/watson-overview.pngPage 12
  12. 12. Answering Questions “We’re interested in helping businesses get to the bottom of problems and answer questions they run into to improve the quality of their products and services, and enhance loyalty and increase revenue”. - Steven Mills Senior VP & Group Executive of Software & Systems IBMPage 13
  13. 13. The Deep QA Approach While IMB Watson’s Deep QA represents an important class of technologies, it was designed as a Jeopardy-playing machine and is:  NOT commercially available today  NOT easily deployed - with 90 Servers and over 2800 cores  NOT a practical application – particularly for innovation workers who need precise answers to questions – now!Page 14
  14. 14. THE FUTURE OF RESEARCH: DEEP SEMANTICS THE FUTURE OF RESEARCH.Page 15
  15. 15. The Deep Semantics Approach  Finds, extracts & organizes relevant solutions based on deep linguistic analysis  Helps users explore problems & solutions by mapping the intent of the user to informational concept classifications such as: • causes and effects • advantages & disadvantages • applications • components & parameters  Unlocks value hidden in internal & external content to speed discovery & decision-making  Powers breakthrough research by delivering highly relevant answers & insightsPage 16
  16. 16. Features of a Deep Semantic Question Answering System  Deep linguistic analysis to extract atoms of meaning from text  Reassembly of atoms of meaning to synthesize higher order conceptual informational content  Automatic classification of questions  Dual search scoring: • Semantic fit • Concept/question classification  Cross-language semantic concept search  Dynamic selection of answer presentation based on user intentPage 17
  17. 17. The Deep Semantics Approach Academic Deep Web Publications Question Worldwide Patents Enterprise Content Linguistic Linguistic Analyzer Knowledge Base Preformatter Question Labeler Linguistic Analyzer Searcher Text Documents Answer Ranker Labeler Text Synthesizer Labeled Text Documents Answer DatabasePage 18
  18. 18. DEEP SEMANTICS KNOWLEDGE ENABLES INNOVATION DEEP SEMANTICS KNOWLEDGE ENABLES INNOVATION.Page 19
  19. 19. Please click here to access to full presentation deck, as well as the on-demand replay of the webinar:http://InventionMachine.com/access-the- webcast-replay-future-of-research/

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