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.

1. The Future of Research:
How Question Answering Technology Like
IBM Watson® Will Change the Way You Innovate
Page 1

2. Agenda
 Introduction
 The End of Search
 Beyond Search: Question Answering
 The Future of Research: Deep Semantics
 Knowledge Enabling Innovation
 Q&A

3. THE END OF SEARCH
THE END OF SEARCH.
Page 3

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. Traditional Search No Longer Effective…
Page 5

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. Search is Dead
Page 7

8. BEYOND SEARCH:
QUESTION ANSWERING
BEYOND SEARCH:
QUESTION ANSWERING
Page 8

9. A QUESTION
ANSWERING
What is Watson?
TECHNOLOGY
BUILT TO PLAY
JEOPARDY!
Page 9

10. IBM Watson®
Page 10

11. Watson Powered by ‘Deep QA’
Answer Evidence
Question Sources Sources
Candidate Supporting Deep
Primary Evidence Evidence
Search Answer
Generation Retrieval Scoring
Question Query Hypothesis Soft Hypothesis & Final Merging
Synthesis & Ranking
Analysis 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.png
Page 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
IBM
Page 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. THE FUTURE OF RESEARCH:
DEEP SEMANTICS
THE FUTURE OF RESEARCH.
Page 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 & insights
Page 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 intent
Page 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
Database
Page 18

18. DEEP SEMANTICS KNOWLEDGE
ENABLES INNOVATION
DEEP SEMANTICS KNOWLEDGE
ENABLES INNOVATION.
Page 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/